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1
Zambrano, Jesus. "Mobile Cloud Computing: Offloading Mobile Processing to the Cloud." UNF Digital Commons, 2015. http://digitalcommons.unf.edu/etd/594.
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The current proliferation of mobile systems, such as smart phones, PDA and tablets, has led to their adoption as the primary computing platforms for many users. This trend suggests that designers will continue to aim towards the convergence of functionality on a single mobile device. However, this convergence penalizes the mobile system in computational resources such as processor speed, memory consumption, disk capacity, as well as in weight, size, ergonomics and the user’s most important component, battery life. Therefore, this current trend aims towards the efficient and effective use of its hardware and software components. Hence, energy consumption and response time are major concerns when executing complex algorithms on mobile devices because they require significant resources to solve intricate problems.
Current cloud computing environments for performing complex and data intensive computation remotely are likely to be an excellent solution for off-loading computation and data processing from mobile devices restricted by reduced resources. In cloud computing, virtualization enables a logical abstraction of physical components in a scalable manner that can overcome the physical constraint of resources. This optimizes IT infrastructure and makes cloud computing a worthy cost effective solution.
The intent of this thesis is to determine the types of applications that are better suited to be off-loaded to the cloud from mobile devices. To this end, this thesis quantitatively and
qualitatively compares the performance of executing two different kinds of workloads locally on two different mobile devices and remotely on two different cloud computing providers. The results of this thesis are expected to provide valuable insight to developers and architects of mobile applications by providing information on the applications that can be performed remotely in order to save energy and get better response times while remaining transparent to users.
2
Houacine, Fatiha. "Service-Oriented Architecture for the Mobile Cloud Computing." Thesis, Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1110/document.
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La croissance des appareils connectés, principalement due au grand nombre de déploiements de l'internet des objets et à l'émergence des services de cloud mobile, introduit de nouveaux défis pour la conception d'architectures de services dans le Cloud Computing Mobile (CCM) du cloud computing mobile. Nous montrons dans cette thèse comment l'architecture orientée services SOA peut être une solution clé pour fournir des services cloud mobiles distribués et comment la plate-forme OSGi peut être un cadre adaptatif et efficace pour fournir une telle implémentation. Nous adaptons le cadre CCM proposé à différents contextes d'architecture. Le premier est un modèle centré traditionnel, où les appareils mobiles sont réduits à consommer des services. Le second est un modèle distribué où la puissance de l'interaction de mobile à mobile offre des opportunités illimitées de services de valeur, et enfin, l'architecture à trois niveaux est considérée avec l'introduction de la notion de cloudlet. Pour chaque contexte, nous explorons la performance de notre cadre axé sur le service et le comparons à d'autres solutions existantesThe growth of connected devices, mostly due to the large number of internet of things IoT deployments and the emergence of mobile cloud services, introduces new challenges for the design of service architectures in mobile cloud computing MCC. An MCC framework should provide elasticity and scalability in a distributed and dynamic way while dealing with limited environment resources and variable mobile contexts web applications, real-time, enterprise services, mobile to mobile, hostile environment, etc. that may include additional constraints impacting the design foundation of cloud services. We show in this thesis how service-oriented architecture SOA can be a key solution to provide distributed mobile cloud services and how OSGi platform can be an adaptive and efficient framework to provide such implementation. We adapt the proposed MCC framework to different architecture contexts. The first one is a traditional centric model, where mobile devices are reduced to consuming services. The second one is a distributed model where the power of mobile-to-mobile interaction offers unlimited value-services opportunities, and finally, three-tier architecture is considered with the introduction of the cloudlet notion. For each context, we explore the performance of our service-oriented framework, and contrast it with alternative existing solutions
3
Rusanova, Olga, Alexander Korochkin, and Oleg Shevelo. "Scheduling problems for mobile cloud computing." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50689.
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Nowadays the popularity of mobile devices is rapidly increased.
New facilities of them (Wi-Fi, GPS, high speed processors etc.) allows
to improve mobile applications in commerce, learning, gaming, health
monitoring, sports etc. But really there are several reasons that limit
mobile computing: limited storage capacity, limited battery life and
limited processing power of mobile devices.
This paper is dedicated to Mobile cloud computing (MCC). We
consider MCC as combination of mobile and cloud computing where
both data storage and data processing are performed outside the mobile
device but inside the cloud.
4
Paverd, Andrew James. "Enhanced mobile computing using cloud resources." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11063.
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Summary in English.Includes bibliographical references.
The purpose of this research is to investigate, review and analyse the use of cloud resources for the enhancement of mobile computing. Mobile cloud computing refers to a distributed computing relationship between a resource-constrained mobile device and a remote high-capacity cloud resource. Investigation of prevailing trends has shown that this will be a key technology in the development of future mobile computing systems. This research presents a theoretical analysis framework for mobile cloud computing. This analysis framework is a structured consolidation of the salient considerations identified in recent scientific literature and commercial endeavours. The use of this framework in the analysis of various mobile application domains has elucidated several significant benefits of mobile cloud computing including increases in system performance and efficiency. Based on recent scientific literature and commercial endeavours, various implementation approaches for mobile cloud computing have been identified, categorized and analysed according to their architectural characteristics. This has resulted in a set of advantages and disadvantages for each category of system architecture. Overall, through the development and application of the new analysis framework, this work provides a consolidated review and structured critical analysis of the current research and developments in the field of mobile cloud computing.
5
Ha, Kiryong. "System Infrastructure for Mobile-Cloud Convergence." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/704.
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The convergence of mobile computing and cloud computing enables new mobile applications that are both resource-intensive and interactive. For these applications, end-to-end network bandwidth and latency matter greatly when cloud resources are used to augment the computational power and battery life of a mobile device. This dissertation designs and implements a new architectural element called a cloudlet, that arises from the convergence of mobile computing and cloud computing. Cloudlets represent the middle tier of a 3-tier hierarchy, mobile device — cloudlet—cloud, to achieve the right balance between cloud consolidation and network responsiveness. We first present quantitative evidence that shows cloud location can affect the performance of mobile applications and cloud consolidation. We then describe an architectural solution using cloudlets that are a seamless extension of todays cloud computing infrastructure. Finally, we define minimal functionalities that cloudlets must offer above/beyond standard cloud computing, and address corresponding technical challenges.
6
Houacine, Fatiha. "Service-Oriented Architecture for the Mobile Cloud Computing." Electronic Thesis or Diss., Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1110.
Full textAbstract:
La croissance des appareils connectés, principalement due au grand nombre de déploiements de l'internet des objets et à l'émergence des services de cloud mobile, introduit de nouveaux défis pour la conception d'architectures de services dans le Cloud Computing Mobile (CCM) du cloud computing mobile. Nous montrons dans cette thèse comment l'architecture orientée services SOA peut être une solution clé pour fournir des services cloud mobiles distribués et comment la plate-forme OSGi peut être un cadre adaptatif et efficace pour fournir une telle implémentation. Nous adaptons le cadre CCM proposé à différents contextes d'architecture. Le premier est un modèle centré traditionnel, où les appareils mobiles sont réduits à consommer des services. Le second est un modèle distribué où la puissance de l'interaction de mobile à mobile offre des opportunités illimitées de services de valeur, et enfin, l'architecture à trois niveaux est considérée avec l'introduction de la notion de cloudlet. Pour chaque contexte, nous explorons la performance de notre cadre axé sur le service et le comparons à d'autres solutions existantesThe growth of connected devices, mostly due to the large number of internet of things IoT deployments and the emergence of mobile cloud services, introduces new challenges for the design of service architectures in mobile cloud computing MCC. An MCC framework should provide elasticity and scalability in a distributed and dynamic way while dealing with limited environment resources and variable mobile contexts web applications, real-time, enterprise services, mobile to mobile, hostile environment, etc. that may include additional constraints impacting the design foundation of cloud services. We show in this thesis how service-oriented architecture SOA can be a key solution to provide distributed mobile cloud services and how OSGi platform can be an adaptive and efficient framework to provide such implementation. We adapt the proposed MCC framework to different architecture contexts. The first one is a traditional centric model, where mobile devices are reduced to consuming services. The second one is a distributed model where the power of mobile-to-mobile interaction offers unlimited value-services opportunities, and finally, three-tier architecture is considered with the introduction of the cloudlet notion. For each context, we explore the performance of our service-oriented framework, and contrast it with alternative existing solutions
7
Datla, Dinesh. "Wireless Distributed Computing in Cloud Computing Networks." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51729.
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The explosion in growth of smart wireless devices has increased the ubiquitous presence of computational resources and location-based data. This new reality of numerous wireless devices capable of collecting, sharing, and processing information, makes possible an avenue for new enhanced applications. Multiple radio nodes with diverse functionalities can form a wireless cloud computing network (WCCN) and collaborate on executing complex applications using wireless distributed computing (WDC). Such a dynamically composed virtual cloud environment can offer services and resources hosted by individual nodes for consumption by user applications. This dissertation proposes an architectural framework for WCCNs and presents the different phases of its development, namely, development of a mathematical system model of WCCNs, simulation analysis of the performance benefits offered by WCCNs, design of decision-making mechanisms in the architecture, and development of a prototype to validate the proposed architecture.
The dissertation presents a system model that captures power consumption, energy consumption, and latency experienced by computational and communication activities in a typical WCCN. In addition, it derives a stochastic model of the response time experienced by a user application when executed in a WCCN. Decision-making and resource allocation play a critical role in the proposed architecture. Two adaptive algorithms are presented, namely, a workload allocation algorithm and a task allocation - scheduling algorithm. The proposed algorithms are analyzed for power efficiency, energy efficiency, and improvement in the execution time of user applications that are achieved by workload distribution. Experimental results gathered from a software-defined radio network prototype of the proposed architecture validate the theoretical analysis and show that it is possible to achieve 80 % improvement in execution time with the help of just three nodes in the network.Ph. D.
8
Hamrén, Oskar. "Mobile phones and cloud computing : A quantitative research paper on mobile phone application offloading by cloud computing utilization." Thesis, Umeå universitet, Institutionen för informatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-60741.
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The development of the mobile phone has been rapid. From being a device mainly usedfor phone calls and writing text messages the mobile phone of today, or commonlyreferred to as the smartphone, has become a multi-purpose device. Because of its size andthermal constraints there are certain limitations in areas of battery life andcomputational capabilities. Some say that cloud computing is just another buzzword, away to sell already existing technology. Others claim that it has the potential to transformthe whole IT-industry. This thesis is covering the intersection of these two fields byinvestigating if it is possible to increase the speed of mobile phones by offloadingcomputational heavy mobile phone application functions by using cloud computing. Amobile phone application was developed that conducts three computational heavy tests.The tests were run twice, by not using cloud computing offloading and by using it. Thetime taken to carry out the tests were saved and later compared to see if it is faster to usecloud computing in comparison to not use it. The results showed that it is not beneficial touse cloud computing to carry out these types of tasks; it is faster to use the mobile phone.
9
Liu, Wei. "Cooperative Resource Sharing in Mobile Cloud Computing." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199456.
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Baraki, Harun [Verfasser]. "MOCCAA - MObile Cloud Computing AdaptAble / Harun Baraki." Kassel : Universitätsbibliothek Kassel, 2019. http://d-nb.info/1202721729/34.
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Le, Vinh Thinh. "Security and Trust in Mobile Cloud Computing." Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1148/document.
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Nous vivons aujourd’hui dans l'ère cybernétique où de nouvelles technologies naissent chaque jour avec la promesse de rendre la vie humaine plus confortable, pratique et sûre. Parmi ces nouvelles technologies, l'informatique mobile se développe en influençant la vie de l’utilisateur. En effet, les plates-formes mobiles (smartphone, tablette) sont devenues les meilleurs compagnons de l’utilisateur pour mener à bien ses activités quotidiennes, comme les activités commerciales ou de divertissement. En jouant ces rôles importants, les plates-formes mobiles doivent opérer dans des environnements de confiance. Dans cette thèse, nous étudions la sécurité des plates-formes mobiles en passant d’un niveau de sécurité primitif qui s’appuie sur les plates-formes de confiance, à un niveau plus sophistiqué qui se base sur de l’intelligence bio-inspirée. Plus précisément, après avoir abordé les défis du cloud computing mobile (MCC), nous développons une étude de cas appelée Droplock pour le cloud mobile et nous étudions son efficacité énergétique et ses performances pour illustrer le modèle MCC. En outre, en s’appuyant sur les plates-formes de confiance (comme les TPM), nous avons introduit un nouveau schéma d'attestation à distance pour sécuriser les plates-formes mobiles dans le contexte du cloud mobile. Pour améliorer le niveau de sécurité et être adaptatif au contexte, nous avons utilisé de la logique floue combinant un système de colonies de fourmis pour évaluer la confiance et la réputation du cloud mobile basé sur la notion de cloudletsAs living in the cyber era, we admit that a dozen of new technologies have been born every day with the promises that making a human life be more comfortable, convenient and safe. In the forest of new technologies, mobile computing is raise as an essential part of human life. Normally, mobile devices have become the best companions in daily activities. They have served us from the simple activities like entertainment to the complicated one as business operations. As playing the important roles, mobile devices deserve to work in the environment which they can trust for serving us better. In this thesis, we investigate the way to secure mobile devices from the primitive security level (Trusted Platforms) to the sophisticated one (bio-inspired intelligence). More precisely, after addressing the challenges of mobile cloud computing (MCC), we have studied the real-case of mobile cloud computing, in terms of energy efficiency and performance, as well as proposed a demonstration of particular MCC model, called Droplock system. Moreover, taking advantages of trusted platform module functionality, we introduced a novel schema of remote attestation to secure mobile devices in the context of Mobile-Cloud based solution. To enhance the security level, we used fuzzy logic combining with ant colony system to assess the trust and reputation for securing another mobile cloud computing model based on the cloudlet notion
12
Le, Vinh Thinh. "Security and Trust in Mobile Cloud Computing." Electronic Thesis or Diss., Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1148.
Full textAbstract:
Nous vivons aujourd’hui dans l'ère cybernétique où de nouvelles technologies naissent chaque jour avec la promesse de rendre la vie humaine plus confortable, pratique et sûre. Parmi ces nouvelles technologies, l'informatique mobile se développe en influençant la vie de l’utilisateur. En effet, les plates-formes mobiles (smartphone, tablette) sont devenues les meilleurs compagnons de l’utilisateur pour mener à bien ses activités quotidiennes, comme les activités commerciales ou de divertissement. En jouant ces rôles importants, les plates-formes mobiles doivent opérer dans des environnements de confiance. Dans cette thèse, nous étudions la sécurité des plates-formes mobiles en passant d’un niveau de sécurité primitif qui s’appuie sur les plates-formes de confiance, à un niveau plus sophistiqué qui se base sur de l’intelligence bio-inspirée. Plus précisément, après avoir abordé les défis du cloud computing mobile (MCC), nous développons une étude de cas appelée Droplock pour le cloud mobile et nous étudions son efficacité énergétique et ses performances pour illustrer le modèle MCC. En outre, en s’appuyant sur les plates-formes de confiance (comme les TPM), nous avons introduit un nouveau schéma d'attestation à distance pour sécuriser les plates-formes mobiles dans le contexte du cloud mobile. Pour améliorer le niveau de sécurité et être adaptatif au contexte, nous avons utilisé de la logique floue combinant un système de colonies de fourmis pour évaluer la confiance et la réputation du cloud mobile basé sur la notion de cloudletsAs living in the cyber era, we admit that a dozen of new technologies have been born every day with the promises that making a human life be more comfortable, convenient and safe. In the forest of new technologies, mobile computing is raise as an essential part of human life. Normally, mobile devices have become the best companions in daily activities. They have served us from the simple activities like entertainment to the complicated one as business operations. As playing the important roles, mobile devices deserve to work in the environment which they can trust for serving us better. In this thesis, we investigate the way to secure mobile devices from the primitive security level (Trusted Platforms) to the sophisticated one (bio-inspired intelligence). More precisely, after addressing the challenges of mobile cloud computing (MCC), we have studied the real-case of mobile cloud computing, in terms of energy efficiency and performance, as well as proposed a demonstration of particular MCC model, called Droplock system. Moreover, taking advantages of trusted platform module functionality, we introduced a novel schema of remote attestation to secure mobile devices in the context of Mobile-Cloud based solution. To enhance the security level, we used fuzzy logic combining with ant colony system to assess the trust and reputation for securing another mobile cloud computing model based on the cloudlet notion
13
Javied, Asad. "Application partitioning and offloading in mobile cloud computing." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/813374/.
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With the emergence of high quality and rich multimedia content, the end user demands of content processing and delivery are increasing rapidly. In view of increasing user demands and quality of service (QoS), cloud computing offers a huge amount of online processing and storage resources which can be exploited on demand. Moreover, the current high speed 4G mobile network i.e. Long Term Evolution (LTE) enables leveraging of the cloud resources. Mobile Cloud Computing (MCC) is an emerging paradigm comprising three heterogeneous domains of mobile computing, cloud computing, and wireless networks. MCC aims to enhance computational capabilities of resource-constrained mobile devices towards rich user experience. Decreasing cloud cost and latency is attracting the research community to exploit the cloud computing resource to offload and process multimedia content in the cloud. High bandwidth and low latency of LTE makes it a suitable candidate for delivering of rich multi-media cloud content back to the user. The convergence of cloud and LTE give rise to an end-to-end communication framework which opens up the possibility for new applications and services. In addition to cloud and network, end user and application constitute the other enti-ties of the end-to-end communication framework. End user quality of service and particular application profile dictate about resource allocation in the cloud and the wireless network. This research formulates different building blocks of the end-to-end communications and in-troduces a new paradigm to exploit the network and cloud resources for the end user. In this way, we employ a multi-objective optimization strategy to propose and simulate an end-to-end communication framework which promises to optimize the behavior of MCC based end-to-end communication to deliver appropriate quality of service (QoS) with utilization of min-imum cloud and network resources. Then we apply application partitioning and offloading schemes to offload certain parts of an application to the cloud to improve energy efficiency and response time. As deliverables of this research, behavior of different entities (cloud, LTE based mobile network, user and application context) have been modeled. In addition, a com-prehensive application partitioning and offloading framework has been proposed in order to minimize the cloud and network resources to achieve user required QoS. Keywords: Long Term Evolution (LTE), Cloud computing, Application partitioning and offloading, Image Retrieval.
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Berrios, Moron Jonathan Glenn. "Quality of Experience Provisioning in Mobile Cloud Computing." Thesis, Luleå tekniska universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70837.
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Ma, Ka-kui, and 馬家駒. "Lightweight task mobility support for elastic cloud computing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47869513.
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Cloud computing becomes popular nowadays. It allows applications to use
the enormous resources in the clouds. With the combination of mobile computing,
mobile cloud computing is evolved. With the use of clouds, mobile applications
can offload tasks to clouds in client-server model. For cloud computing, migration
is an important function for supporting elasticity. Lightweight and portable task
migration support allows better resource utilization and data access locality, which
are essentials for the success of cloud computing. Various migration techniques
are available, such as process migration, thread migration, and virtual machine
live migration. However, for these existing migration techniques, migrations are
too coarse-grained and costly, and this offsets the benefits from migration.
Besides, the migration path is monotonic, and mobile and clouds resources cannot
be utilized.
In this study, we propose a new computation migration technique called
stack-on-demand (SOD). This technique is based on the stack structure of tasks.
Computation migration is carried out by exporting parts of the execution state to
achieve lightweight and flexible migration. Compared to traditional task migration
techniques, SOD allows lightweight computation migration. It allows dynamic
execution flows in a multi-domain workflow style. With its lightweight feature,
tasks of a large process can be migrated from clouds to small-capacity devices,
such as iPhone, in order to use the unique resources, such as photos, found in the
devices.
In order to support its lightweight feature, various techniques have been
introduced. To allow efficient access to remote objects in task migration, we
propose an object faulting technique for efficient detection of remote objects. This
technique avoids the checking of object status. To allow portable, lightweight
application-level migration, asynchronous migration technique and twin method
hierarchy instrumentation technique are proposed. This allows lightweight task
migration from mobile device to cloud nodes, and vice versa.
We implement the SOD concept as a middleware in a mobile cloud
environment to allow transparent execution migration of Java programs. It has
shown that SOD migration cost is pretty low, comparing to several existing
migration mechanisms. We also conduct experiments with mobile devices to
demonstrate the elasticity of SOD, in which server-side heavyweight processes
can run adaptively on mobile devices to use the unique resources in the devices.
On the other hand, mobile devices can seamlessly offload tasks to the cloud nodes
to use the cloud resources. In addition, the system has incorporated a restorable
communication layer, and this allows parallel programs to communicate properly
with SOD migration.published_or_final_version
Computer Science
Doctoral
Doctor of Philosophy
16
Hou, Zhijun. "Efficient Data Access in Cloudlet-based Mobile Cloud Computing." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37982.
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The growth in mobile devices and applications has leveraged the emergence of mobile cloud computing, which allows the access to services at any place and extends mobile computing. Usually, the current mobile network consists of a restricting factor in supporting such access because, from a global perspective, cloud servers are distant from most mobile users, which introduces signi cant latency and results in considerably delays on applications in mobile devices. On the other hand, Cloudlet are usually on the edge of Mobile Networks and can serve content to mobile users with high availability and high performance. This thesis reviews both the traditional mobile cloud computing and the Cloudlet architecture. A taxonomy on the Cloudlet architecture is introduced and three related technologies are discussed. Based on the user needs in this environment, personal model which is used to predict individual behaviour and group model which considers caching popular data for several users are proposed. Making use of these two models and the Cloudlet architecture, two data access schemes are designed based on model distribution
and data pre-distribution. We have conducted experiments and analysis for both the
models and data access schemes. For the models, model efficiency and comparisons among different technologies are analysed. Simulation results for the data access schemes show that the proposed schemes outperform the existing method from both battery consumption and performance aspects.
17
Ekanayake, Mudiyanselage Wijaya Dheeshakthi. "An SDN-based Framework for QoSaware Mobile Cloud Computing." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35117.
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In mobile cloud computing (MCC), rich mobile application data is processed at the cloud infrastructure by reliving resource limited mobile devices from computationally complex tasks. However, due to the ubiquitous and mobility nature, providing time critical rich applications over remote cloud infrastructure is a challenging task for mobile application service providers. Therefore, according to the literature, close proximity placement of cloud services has been identified as a way to achieve lower end-to-end access delay and thereby provide a higher quality of experience (QoE) for rich mobile application users. However, providing a higher Quality of Service (QoS) with mobility is still a challenge within close proximity clouds. Access delay to a closely placed cloud tends to be increased over time when users move away from the cloud. However, reactive resource relocation mechanism proposed in literature does not provide a comprehensive mechanism to guarantee the QoS and as well as to minimize service provisioning cost for mobile cloud service providers.
As a result, using the benefits of SDN and the data plane programmability with logically centralized controllers, a resource allocation framework was
proposed for IaaS mobile clouds with regional datacenters. The user mobility problem was analyzed within SDN-enabled wireless networks and addressed the possible service level agreement violations that could occur with inter-regional mobility. The proposed framework is composed of an optimization algorithm to provide seamless cloud service during user mobility. Further a service provisioning cost minimization criteria was considered during an event of resource allocation and inter-regional user mobility.
18
Li, Li. "Improving the Energy Efficiency for Mobile and Cloud Computing." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1522883821175401.
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Bhuchhada, Jay Kumar. "Multi-Access Edge Computing Assisted Mobile Ad-hoc Cloud." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39572.
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Mobile Ad-hoc Cloud offers users the capability to offload intensive tasks on a cloud composed of voluntary mobile devices. Due to the availability of these devices in the proximity, intensive tasks can be processed locally. In addition, the literature referred to in the text, distinguishes a specific class of application to be well addressed when processed at the user level. However, due to lack of commitment, mobility, and unpredictability of the mobile devices, providing a rich ad-hoc cloud service is challenging. Furthermore, the resource availability of these devices impacts the service offered to the requester.
As a result, this thesis aims to address the challenges mentioned above. With the support of Multi-Access Edge Computing, a mobile ad-hoc Infrastructure as a Service composition framework is proposed. An ad-hoc application server is designed to operate over the MEC platform to compose and manage the mobile ad-hoc cloud. The server uses the information provided by the MEC services to compose volunteer resources for a given request. As well, a heuristic approach for a multi-dimensional bin packing technique is considered, while extending the Euclidean distance for sub-tasks selection. In addition, to address the lack of resource availability, an architecture for MAC using SDN is proposed. The logically centralized controller works with the application server to migrate requests seamlessly from one region to another. Inspired by the benefits of the MEC, a mobility mechanism is introduced to address the movement of the participants. Finally, based on the evaluation, it was observed that the proposed MAC framework not only provided better use of resources but also provided a consisted and scalable service.
20
Bou, Abdo Jacques. "Efficient and secure mobile cloud networking." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066551.
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MCC (Mobile Cloud Computing) est un candidat très fort pour le NGN (Next Generation Network) qui permet aux utilisateurs mobiles d’avoir une mobilité étendue, une continuité de service et des performances supérieures. Les utilisateurs peuvent s’attendre à exécuter leurs travaux plus rapidement, avec une faible consommation de batterie et à des prix abordables ; mais ce n’est pas toujours le cas. Diverses applications mobiles ont été développées pour tirer parti de cette nouvelle technologie, mais chacune de ces applications possède ses propres exigences. Plusieurs MCA (Mobile Cloud Architectures) ont été proposées, mais aucune n'a été adaptée pour toutes les applications mobiles, ce qui a mené à une faible satisfaction du client. De plus, l'absence d'un modèle d'affaires (business model) valide pour motiver les investisseurs a empêché son déploiement à l'échelle de production. Cette thèse propose une nouvelle architecture de MCA (Mobile Cloud Architecture) qui positionne l'opérateur de téléphonie mobile au cœur de cette technologie avec un modèle d'affaires de recettes. Cette architecture, nommée OCMCA (Operator Centric Mobile Cloud Architecture), relie l'utilisateur d’un côté et le fournisseur de services Cloud (CSP) de l'autre côté, et héberge un cloud dans son réseau. La connexion OCMCA / utilisateur peut utiliser les canaux multiplex menant à un service beaucoup moins cher pour les utilisateurs, mais avec plus de revenus, et de réduire les embouteillages et les taux de rejet pour l'opérateur. La connexion OCMCA / CSP est basée sur la fédération, ainsi un utilisateur qui a été enregistré avec n’importe quel CSP, peut demander que son environnement soit déchargé de cloud hébergé par l'opérateur de téléphonie mobile afin de recevoir tous les services et les avantages de OCMCA.Les contributions de cette thèse sont multiples. Premièrement, nous proposons OCMCA et nous prouvons qu'il a un rendement supérieur à toutes les autres MCA (Mobile Cloud Architectures). Le modèle d'affaires (business model) de cette architecture se concentre sur la liberté de l'abonnement de l'utilisateur, l'utilisateur peut ainsi être abonné à un fournisseur de cloud et être toujours en mesure de se connecter via cette architecture à son environnement à l'aide du déchargement et de la fédérationMobile cloud computing is a very strong candidate for the title "Next Generation Network" which empowers mobile users with extended mobility, service continuity and superior performance. Users can expect to execute their jobs faster, with lower battery consumption and affordable prices; however this is not always the case. Various mobile applications have been developed to take advantage of this new technology, but each application has its own requirements. Several mobile cloud architectures have been proposed but none was suitable for all mobile applications which resulted in lower customer satisfaction. In addition to that, the absence of a valid business model to motivate investors hindered its deployment on production scale. This dissertation proposes a new mobile cloud architecture which positions the mobile operator at the core of this technology equipped with a revenue-making business model. This architecture, named OCMCA (Operator Centric Mobile Cloud Architecture), connects the user from one side and the Cloud Service Provider (CSP) from the other and hosts a cloud within its network. The OCMCA/user connection can utilize multicast channels leading to a much cheaper service for the users and more revenues, lower congestion and rejection rates for the operator. The OCMCA/CSP connection is based on federation, thus a user who has been registered with any CSP, can request her environment to be offloaded to the mobile operator's hosted cloud in order to receive all OCMCA's services and benefits
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Khalifa, Ahmed Abdelmonem Abuelfotooh Ali. "Collaborative Computing Cloud: Architecture and Management Platform." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/72866.
Full textAbstract:
We are witnessing exponential growth in the number of powerful, multiply-connected, energy-rich stationary and mobile nodes, which will make available a massive pool of computing and communication resources. We claim that cloud computing can provide resilient on-demand computing, and more effective and efficient utilization of potentially infinite array of resources. Current cloud computing systems are primarily built using stationary resources. Recently, principles of cloud computing have been extended to the mobile computing domain aiming to form local clouds using mobile devices sharing their computing resources to run cloud-based services.
However, current cloud computing systems by and large fail to provide true on-demand computing due to their lack of the following capabilities: 1) providing resilience and autonomous adaptation to the real-time variation of the underlying dynamic and scattered resources as they join or leave the formed cloud; 2) decoupling cloud management from resource management, and hiding the heterogeneous resource capabilities of participant nodes; and 3) ensuring reputable resource providers and preserving the privacy and security constraints of these providers while allowing multiple users to share their resources. Consequently, systems and consumers are hindered from effectively and efficiently utilizing the virtually infinite pool of computing resources.
We propose a platform for mobile cloud computing that integrates: 1) a dynamic real-time resource scheduling, tracking, and forecasting mechanism; 2) an autonomous resource management system; and 3) a cloud management capability for cloud services that hides the heterogeneity, dynamicity, and geographical diversity concerns from the cloud operation. We hypothesize that this would enable 'Collaborative Computing Cloud (C3)' for on-demand computing, which is a dynamically formed cloud of stationary and/or mobile resources to provide ubiquitous computing on-demand. The C3 would support a new resource-infinite computing paradigm to expand problem solving beyond the confines of walled-in resources and services by utilizing the massive pool of computing resources, in both stationary and mobile nodes.
In this dissertation, we present a C3 management platform, named PlanetCloud, for enabling both a new resource-infinite computing paradigm using cloud computing over stationary and mobile nodes, and a true ubiquitous on-demand cloud computing. This has the potential to liberate cloud users from being concerned about resource constraints and provides access to cloud anytime and anywhere.
PlanetCloud synergistically manages 1) resources to include resource harvesting, forecasting and selection, and 2) cloud services concerned with resilient cloud services to include resource provider collaboration, application execution isolation from resource layer concerns, seamless load migration, fault-tolerance, the task deployment, migration, revocation, etc. Specifically, our main contributions in the context of PlanetCloud are as follows.
1. PlanetCloud Resource Management
• Global Resource Positioning System (GRPS):
Global mobile and stationary resource discovery and monitoring. A novel distributed spatiotemporal resource calendaring mechanism with real-time synchronization is proposed to mitigate the effect of failures occurring due to unstable connectivity and availability in the dynamic mobile environment, as well as the poor utilization of resources. This mechanism provides a dynamic real-time scheduling and tracking of idle mobile and stationary resources. This would enhance resource discovery and status tracking to provide access to the right-sized cloud resources anytime and anywhere.
• Collaborative Autonomic Resource Management System (CARMS):
Efficient use of idle mobile resources. Our platform allows sharing of resources, among stationary and mobile devices, which enables cloud computing systems to offer much higher utilization, resulting in higher efficiency. CARMS provides system-managed cloud services such as configuration, adaptation and resilience through collaborative autonomic management of dynamic cloud resources and membership. This helps in eliminating the limited self and situation awareness and collaboration of the idle mobile resources.
2. PlanetCloud Cloud Management
Architecture for resilient cloud operation on dynamic mobile resources to provide stable cloud in a continuously changing operational environment. This is achieved by using trustworthy fine-grained virtualization and task management layer, which isolates the running application from the underlying physical resource enabling seamless execution over heterogeneous stationary and mobile resources. This prevents the service disruption due to variable resource availability. The virtualization and task management layer comprises a set of distributed powerful nodes that collaborate autonomously with resource providers to manage the virtualized application partitions.Ph. D.
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Piscaglia, Alex. "Mobile Cloud Computing: una panoramica e un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17989/.
Full textAbstract:
Il cloud computing è un trend tecnologico che, da diversi anni a questa parte, sta rivoluzionando il modo di pensare e agire nel mondo dell'informatica. Se, comunemente, si è soliti immaginare un software in modalità on-premise, ovverosia installato ed eseguito direttamente sulla macchina locale, con il cloud computing questa mentalità viene meno: le applicazioni non hanno più la necessità di trovarsi fisicamente sul computer dell'utente, poiché vengono messe a disposizione via Internet attraverso una piattaforma virtuale e, tipicamente, ospitata e gestita da un fornitore di terze parti, risultando accessibili da qualsiasi terminale dotato di una connessione alla rete. Come vedremo nel corso dell'elaborato, questa soluzione non si applica soltanto ai software, bensì anche alle infrastrutture e piattaforme hardware. Il termine "cloud", nuvola in inglese, è molto azzeccato, in quanto esprime bene il concetto che sta alla base del paradigma: così come una nuvola si trova in cielo ed è visibile da molteplici posizioni, allo stesso modo il cloud "si trova" in rete ed è accessibile da vari device.
Lo scopo di questa tesi è quello approfondire lo studio su questa frontiera dell'informatica, fornendo una descrizione più dettagliata dei vari aspetti teorici e mettendoli successivamente in pratica attraverso l'implementazione di un caso di studio.
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Azam, A. S. M. Faruque, and Markus Johnsson. "Mobile One Time Passwords and RC4 Encryption for Cloud Computing." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-14661.
Full textAbstract:
Cloud services have grown very quickly over the past couple of years, giving consumers and companies the chance to put services, resources and infrastructures in the hands of a provider. Therefore removing the need of providing these services themselves. This can for example lead to cost savings, better resource utilization and removing the need of technical expertise for the customers. There is big security concerns when using cloud services. Security is very important in cloud computing since people and companies store confidential data in the cloud. It must also be easy to use the services provided, since cloud services have so many users with different technical background. Since the control of services and data needed for the everyday-run of a corporation is being handled by another company, further issues needs to be concerned. The consumer needs to trust the provider, and know that they handle their data in a correct manner, and that resources can be accessed when needed. This thesis focuses on authentication and transmission encryption in cloud services. The current solutions used today to login to cloud services have been investigated and concluded that they don't satisfy the needs for cloud services. They are either insecure, complex or costly. It can also be concluded that the best encryption algorithm to use in a cloud environment is RC4, which is secure and at the same time a fast algorithm. Compared to AES, which together with RC4, are the most common encryption methods used over the Internet today, RC4 is the better choice. This thesis have resulted in an authentication and registration method that is both secure and easy to use, therefore fulfilling the needs of cloud service authentication. The method have been implemented in a fully working finished solution, that use a regular mobile phone to generate one time passwords that is used to login to cloud services. All of the data transmissions between the client and the server have been configured to use RC4 encryption. The conclusions that can be drawn is that the security proposal implemented in this thesis work functions very well, and provide good security together with an ease of use for clients that don't have so much technical knowledge.
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Aldmour, Rakan A. "Mobile cloud computing for reducing power consumption and minimising latency." Thesis, Anglia Ruskin University, 2018. http://arro.anglia.ac.uk/703810/.
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Mobile phones can be used for basic computations, whilst in contrast smart phones are used for intensive computations, videos, and social media. Processors have become faster, sensors are multi-functional, whereas battery lifetime has had minimal improvement. In view of rich media which involves huge computational complexity, there are greater challenges for mobile users in terms of battery, storage space and transmission time. Therefore, it is vital to send the intensive tasks from mobile to cloud with minimal delay. In this research, a strategy to either save a file on the mobile or offload it to the cloud has been designed through a comparative analysis of two main factors; offloading delay and the power consumption. An efficient model of offloading process to estimate the battery consumption and the delay was established. Furthermore, a decision engine was designed to choose the most suitable mobile transmission protocol through a comparative study of each route. Additionally, a new model was proposed to compress the file during the 4G offloading technique, which decreased the file size resulting in less delay, enhanced quality of service and secured data integrity. Further innovations were the use of a secondary server when the first was busy and a back up server to prevent repetitive uploading of files. The results have shown that the newly developed MECCA (Mobile Energy Cloud Computing Application) decreased the processing time by 30% while offloading the files. The use of the secondary server illustrated that the new features saved the mobile battery and reduced the processing time. Moreover, in Second Upload Round (SUR), the improvements in power usage reduction was noticeable whilst using the 4G connection. Overall, the results offer an insight into the offload possibility for different characteristics. The MECCA application was validated through comparative analysis of the main parameters to the developed analytical model which illustrated a match of 96% between the results.
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Aldmour, Rakan A. "Mobile cloud computing for reducing power consumption and minimising latency." Thesis, Anglia Ruskin University, 2018. https://arro.anglia.ac.uk/id/eprint/703810/1/Aldmour_2018.pdf.
Full textAbstract:
Mobile phones can be used for basic computations, whilst in contrast smart phones are used for intensive computations, videos, and social media. Processors have become faster, sensors are multi-functional, whereas battery lifetime has had minimal improvement. In view of rich media which involves huge computational complexity, there are greater challenges for mobile users in terms of battery, storage space and transmission time. Therefore, it is vital to send the intensive tasks from mobile to cloud with minimal delay. In this research, a strategy to either save a file on the mobile or offload it to the cloud has been designed through a comparative analysis of two main factors; offloading delay and the power consumption.
An efficient model of offloading process to estimate the battery consumption and the delay was established. Furthermore, a decision engine was designed to choose the most suitable mobile transmission protocol through a comparative study of each route. Additionally, a new model was proposed to compress the file during the 4G offloading technique, which decreased the file size resulting in less delay, enhanced quality of service and secured data integrity. Further innovations were the use of a secondary server when the first was busy and a back up server to prevent repetitive uploading of files.
The results have shown that the newly developed MECCA (Mobile Energy Cloud Computing Application) decreased the processing time by 30% while offloading the files. The use of the secondary server illustrated that the new features saved the mobile battery and reduced the processing time. Moreover, in Second Upload Round (SUR), the improvements in power usage reduction was noticeable whilst using the 4G connection. Overall, the results offer an insight into the offload possibility for different characteristics. The MECCA application was validated through comparative analysis of the main parameters to the developed analytical model which illustrated a match of 96% between the results.
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Gao, Bo. "Developing energy-aware workload offloading frameworks in mobile cloud computing." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/78802/.
Full textAbstract:
Mobile cloud computing is an emerging field of research that aims to provide a platform on which intelligent and feature-rich applications are delivered to the user at any time and at anywhere. Computation offload between mobile and cloud plays a key role in this vision and ensures that the integration between mobile and cloud is both seamless and energy-efficient. In this thesis, we develop a suite of energy-aware workload offloading frameworks to accommodate the efficient execution of mobile workflows on a mobile cloud platform. We start by looking at two energy objectives of a mobile cloud platform. While the first objective aims at minimising the overall energy cost of the platform, the second objective aims at the longevity of the platform taking into account the residual battery power of each device. We construct optimisation models for both objectives and develop two efficient algorithms to approximate the optimal solution. According to simulation results, our greedy autonomous offload (GAO) algorithm is able to efficiently produce allocation schemes that are close to optimal. Next, we look at the task allocation problem from a workflow's perspective and develop energy-aware offloading strategies for time-constrained mobile workflows. We demonstrate the effect of software and hardware characteristics have over the offload-efficiency of mobile workflows with a workflow-oriented greedy autonomous offload (WGAO) algorithm, an extension to the GAO algorithm. Thirdly, we propose a novel network I-O model to describe the bandwidth dependencies and allocation problem in mobile networks. This model lays the foundation for further objective developments such as the cost-based and adaptive bandwidth allocation schemes which we also present in this thesis. Lastly, we apply a game theoretical approach to model the non-cooperative behaviour of mobile cloud applications that reside on the same device. Mixed-strategy Nash equilibrium is derived for the offload game which further quantifies the price of anarchy of the system.
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Josilo, Sladana. "Decentralized Algorithms for Resource Allocation in Mobile Cloud Computing Systems." Licentiate thesis, KTH, Nätverk och systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228084.
Full textAbstract:
The rapid increase in the number of mobile devices has been followed by an increase in the capabilities of mobile devices, such as the computational power, memory and battery capacity. Yet, the computational resources of individual mobile devices are still insufficient for various delay sensitive and computationally intensive applications. These emerging applications could be supported by mobile cloud computing, which allows using external computational resources. Mobile cloud computing does not only improve the users’ perceived performance of mobile applications, but it also may reduce the energy consumption of mobile devices, and thus it may extend their battery life. However, the overall performance of mobile cloud computing systems is determined by the efficiency of allocating communication and computational resources. The work in this thesis proposes decentralized algorithms for allocating these two resources in mobile cloud computing systems. In the first part of the thesis, we consider the resource allocation problem in a mobile cloud computing system that allows mobile users to use cloud computational resources and the resources of each other. We consider that each mobile device aims at minimizing its perceived response time, and we develop a game theoretical model of the problem. Based on the game theoretical model, we propose an efficient decentralized algorithm that relies on average system parameters, and we show that the proposed algorithm could be a promising solution for coordinating multiple mobile devices. In the second part of the thesis, we consider the resource allocation problem in a mobile cloud computing system that consists of multiple wireless links and a cloud server. We model the problem as a strategic game, in which each mobile device aims at minimizing a combination of its response time and energy consumption for performing the computation. We prove the existence of equilibrium allocations of mobile cloud resources, and we use game theoretical tools for designing polynomial time decentralized algorithms with a bounded approximation ratio. We then consider the problem of allocating communication and computational resources over time slots, and we show that equilibrium allocations still exist. Furthermore, we analyze the structure of equilibrium allocations, and we show that the proposed decentralized algorithm for computing equilibria achieves good system performance. By providing constructive equilibrium existence proofs, the results in this thesis provide low complexity decentralized algorithms for allocating mobile cloud resources for various mobile cloud computing architectures.-the webinar ID on Zoom: 670-3514-7251, - the registration URL: https://kth-se.zoom.us/webinar/register/WN_EQCltecySbSMoEQiRztIZg
QC 20180518
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Wu, Huaming [Verfasser]. "Analysis of Offloading Decision Making in Mobile Cloud Computing / Huaming Wu." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1079525424/34.
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Chikh, Haidar. "APOLLO : A System for Proactive Application Migration in Mobile Cloud Computing." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59623.
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ARAUJO, Jean Carlos Teixeira de. "Planejamento de infraestruturas de mobile cloud computing baseado em modelos estocásticos." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/25222.
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CAPES
A academia e a indústria têm demonstrado que os recursos limitados dos dispositivos móveis podem ser complementados por recursos virtualizados em uma infraestrutura de computação em nuvem, surgindo assim um novo paradigma chamado mobile cloud computing (MCC). Embora esta solução expanda substancialmente a capacidade de tais dispositivos, também impõe uma dependência em tempo integral de conexão de Internet sem fio. Além disso, problemas como o esgotamento da carga da bateria, falhas de dispositivos móveis, instabilidade das redes sem fio, bugs de aplicativos e interrupções no serviço da nuvem podem representar obstáculos na expansão da mobile cloud computing, uma vez que tais problemas podem resultar no mal fornecimento do serviço da MCC. Modelos estocásticos hierárquicos são adequados para descrever de forma concisa o funcionamento de uma infraestrutura de MCC, lidando com o grande número de componentes que constituem esse tipo de sistema. Sendo um paradigma tão recente, poucos esforços foram feitos para identificar os impactos destes tipos de falhas sobre o funcionamento do sistema. Desta forma, esta tese provê modelos estocásticos para o planejamento de infraestruturas de mobile cloud computing. Esta abordagem foca especialmente no impacto de alguns fatores sobre a disponibilidade e confiabilidade do sistema, tais como: arquiteturas distintas de mobile cloud computing; características de protocolos de comunicação; componentes críticos dos dispositivos móveis, como a bateria; e o comportamento dos softwares envolvidos. A avaliação adotada é baseada em modelos heterogêneos hierárquicos e se concentra em métricas como a disponibilidade em estado estacionário, confiabilidade, downtime, probabilidade de conectividade, tempo médio de vida da bateria, e os custos de implantação e provisionamento da infraestrutura de nuvem. Os experimentos realizados fornecem subsídios aos parâmetros de entrada dos modelos aqui propostos. Além disso, ferramentas de software foram desenvolvidas para auxiliar na condução de tais experimentos. Os modelos propostos permitem realizar comparações entre diferentes formas de implantação de mobile cloud computing, assim como planejar ajustes na infraestrutura de hardware e software com o intuito de garantir níveis de serviço satisfatórios.
Academy and industry have been showing that the limited resources of mobile devices might be supplemented by virtualized resources in a cloud infrastructure, emerging a new paradigm called mobile cloud computing (MCC). While this solution substantially expands the abilities of such gadgets, it also enforces a full-time dependency on wireless Internet connection. Furthermore, issues such as battery charge depletion, mobile device faults, wireless network instability, application bugs, and outages in the cloud service may represent obstacles in expansion of the mobile cloud computing, since such issues may result in poor provision of the MCC service. Hierarchical stochastic models are suitable for a concise description of the operation of an MCC infrastructure, dealing with the large number of components that constitute this type of system. Being such a recent paradigm, few efforts were conduced to identify the impact of those types of faults on the system operation. In this way, this thesis provides stochastic models to planning of mobile cloud computing infrastructures. This approach focus specially on the impact of some factors on system availability and reliability, such as: different architectures of mobile cloud computing; characteristics of communication protocols; critical components of mobile devices, such as the battery; and the behavior of the software involved. Our evaluation is based on hierarchical heterogeneous models and focuses on measures such as steady-state availability, reliability, downtime, connectivity probability, average battery lifetime, and costs of implementation and provisioning of the cloud infrastructure. We performed experiments to provide subsidies to the input parameters of the proposed models here. In addition, software tools have been developed to aid in the conduct of such experiments. The proposed models allow comparisons between different forms of mobile cloud computing deployment, as well as planning adjustments to the hardware and software infrastructure to ensure satisfactory service levels.
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Morichetta, Andrea. "A formal approach to decision support on Mobile Cloud Computing applications." Thesis, IMT Alti Studi Lucca, 2016. http://e-theses.imtlucca.it/190/1/Morichetta_phdthesis.pdf.
Full textAbstract:
Mobile Cloud Computing (MCC) is an emergent topic growths
with the explosion of the mobile applications. In MCC systems,
application functionalities are dynamically partitioned
between the mobile devices and cloud infrastructures. The
main research direction in this field aims at optimizing different
metrics, like performance, energy efficiency, reliability
and security, in a dynamic environment in which the MCC
application is located. Optimization in MCC refers to taking
advantages from the offloading process, that consists in
moving the computation from the local device to a remote
one. The biggest challenge in this aspect is to define a strategy
that is able to decide when offloading and which part of
the application to move. This technique, in general, improves
the efficiency of a system, although sometimes it can lead to
a performance degradation.
To decide when and what to offload, in this thesis we propose
a new general framework supporting the design and the
runtime execution of applications on their own MCC scenarios.
In particular the framework provides a new specification
language, called MobiCa, equipped with a formal semantics
that permits to capture all characteristics of a MCC system.
Besides the strategy optimization achieved by exploiting the
potentiality of the model checker UPPAAL, we propose a set
of methods for determining optimal finite/infinite schedules.
They are able to manage the resource assignment of components
with the aim of improving the system efficiency in
terms of battery consumption and time. Furthermore, we
propose two optimized scheduling algorithms, developed in
Java, based on the exploitation of parallel computation in order
to improve the system performance.
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Pourghomi, Pardis. "Managing near field communication (NFC) payment applications through cloud computing." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/8538.
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The Near Field Communication (NFC) technology is a short-range radio communication channel which enables users to exchange data between devices. NFC provides a contactless technology for data transmission between smart phones, Personal Computers (PCs), Personal Digital Assistants (PDAs) and such devices. It enables the mobile phone to act as identification and a credit card for customers. However, the NFC chip can act as a reader as well as a card, and also be used to design symmetric protocols. Having several parties involved in NFC ecosystem and not having a common standard affects the security of this technology where all the parties are claiming to have access to client’s information (e.g. bank account details). The dynamic relationships of the parties in an NFC transaction process make them partners in a way that sometimes they share their access permissions on the applications that are running in the service environment. These parties can only access their part of involvement as they are not fully aware of each other’s rights and access permissions. The lack of knowledge between involved parties makes the management and ownership of the NFC ecosystem very puzzling. To solve this issue, a security module that is called Secure Element (SE) is designed to be the base of the security for NFC. However, there are still some security issues with SE personalization, management, ownership and architecture that can be exploitable by attackers and delay the adaption of NFC payment technology. Reorganizing and describing what is required for the success of this technology have motivated us to extend the current NFC ecosystem models to accelerate the development of this business area. One of the technologies that can be used to ensure secure NFC transactions is cloud computing which offers wide range advantages compared to the use of SE as a single entity in an NFC enabled mobile phone. We believe cloud computing can solve many issues in regards to NFC application management. Therefore, in the first contribution of part of this thesis we propose a new payment model called “NFC Cloud Wallet". This model demonstrates a reliable structure of an NFC ecosystem which satisfies the requirements of an NFC payment during the development process in a systematic, manageable, and effective way.
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Grønli, Tor-Morten. "Cloud computing and context-awareness : a study of the adapted user experience." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6524.
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Today, mobile technology is part of everyday life and activities and the mobile ecosystems are blossoming, with smartphones and tablets being the major growth drivers. The mobile phones are no longer just another device, we rely on their capabilities in work and in private. We look to our mobile phones for timely and updated information and we rely on this being provided any time of any day at any place. Nevertheless, no matter how much you trust and love your mobile phone the quality of the information and the user experience is directly associated with the sources and presentation of information. In this perspective, our activities, interactions and preferences help shape the quality of service, content and products we use. Context-aware systems use such information about end-users as input mechanisms for producing applications based on mobile, location, social, cloud and customized content services. This represents new possibilities for extracting aggregated user-centric information and includes novel sources for context-aware applications. Accordingly, a Design Research based approach has been taken to further investigate the creation, presentation and tailoring of user-centric information. Through user evaluated experiments findings show how multi-dimensional context-aware information can be used to create adaptive solutions tailoring the user experience to the users’ needs. Research findings in this work; highlight possible architectures for integration of cloud computing services in a heterogeneous mobile environment in future context-aware solutions. When it comes to combining context-aware results from local computations with those of cloud based services, the results provide findings that give users tailored and adapted experiences based on the collective efforts of the two.
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Lucernati, Romano. "Scalable and Seamless Discovery and Selection of Services in Mobile Cloud Computing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Find full textAbstract:
Mobile devices are now capable of supporting a wide range of applications, many of which demand an ever increasing computational power. To this end, mobile cloud computing (MCC) has been proposed to address the limited computation power, memory, storage, and energy of such devices. An important challenge in MCC is to guarantee seamless discovery of services. To this end, this thesis proposes an architecture that provides user-transparent and low-latency service discovery, as well as automated service selection. Experimental results on a real cloud computing testbed demonstrated that the proposed work outperforms state of-the-art approaches by achieving extremely low discovery delay.
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Orsini, Gabriel Verfasser], and Winfried [Akademischer Betreuer] [Lamersdorf. "Kontextadaptive Anwendungsarchitekturen für das mobile Cloud Computing / Gabriel Orsini ; Betreuer: Winfried Lamersdorf." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2017. http://nbn-resolving.de/urn:nbn:de:gbv:18-88747.
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OLIVEIRA, Danilo Mendonça. "Análise de Disponibilidade e Consumo Energético em Ambientes de Mobile Cloud Computing." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/11305.
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license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)Made available in DSpace on 2015-03-06T18:52:25Z (GMT). No. of bitstreams: 2 DISSERTAÇÃO Danilo Mendonça Oliveira.pdf: 2175842 bytes, checksum: 79c892912cfed4dad66b472b6c703daa (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014-02-25
Mobile cloud computing (MCC) é um novo paradigma computacional que tem como objetivo melhorar a capacidade de dispositivos móveis através do provisionamento de recursos virtualizados de uma infraestrutura de nuvem. Enquanto que a MCC melhora consideravelmente as habilidades de tais dispositivos, também impõe a dependência em tempo integral de uma conexão sem fio com a Internet. Além disso, questões como descarga de bateria, falhas no dispositivo móvel, bugs de aplicação e interrupções no serviço em nuvem, podem representar obstáculos na disseminação deste paradigma. Sendo um paradigma tão recente, poucos esforços foram feitos no sentido de estudar os impactos destes tipos de falhas sobre atributos de dependabilidade. Desta forma, nosso trabalho tem como proposta oferecer uma metodologia de avaliação de disponibilidade em arquiteturas de mobile cloud. A metodologia é dividida em três partes. Primeiro, definimos uma arquitetura base, onde não há mecanismos de redundância e tolerância à falhas. Avaliamos a disponibilidade desta arquitetura por meio de um modelo hierárquico composto de diagramas de blocos de confiabilidade (RBD) e cadeias de Markov de tempo contínuo (CTMC), e validamos o modelo através de um testbed de injeção de falhas e por simulação. Na segunda parte, apresentamos três adaptações do cenário base que tem como objetivo o aumento da disponibilidade estacionária. Estes três cenários são avaliados em termos de disponibilidade e downtime anual, através de extensões do modelo previamente validado. Por último, selecionamos uma das arquiteturas e realizamos uma investigação mais detalhada dos efeitos do uso de interfaces wireless sobre o consumo energético do dispositivo e seu impacto na disponibilidade, utilizando modelos em redes de Petri estocásticas. Nossos resultados mostram a efetividade da arquitetura cloudlet na melhoria da disponibilidade do sistema em comparação ao cenário base. Também concluímos que em aplicações móveis que se conectam à nuvem através de múltiplas interfaces de rede (3G e WiFi), melhorias na estabilidade do sinal WiFi promovem um aumento de disponibilidade significativo, além de aumentar o tempo de autonomia da bateria do dispositivo.
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Orsini, Gabriel [Verfasser], and Winfried [Akademischer Betreuer] Lamersdorf. "Kontextadaptive Anwendungsarchitekturen für das mobile Cloud Computing / Gabriel Orsini ; Betreuer: Winfried Lamersdorf." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2017. http://d-nb.info/1148650555/34.
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Kaddour, Inan. "Mobile Cloud Computing: A Comparison Study of Cuckoo and AIOLOS Offloading Frameworks." UNF Digital Commons, 2018. https://digitalcommons.unf.edu/etd/785.
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Currently, smart mobile devices are used for more than just calling and texting. They can run complex applications such as GPS, antivirus, and photo editor applications. Smart devices today offer mobility, flexibility, and portability, but they have limited resources and a relatively weak battery. As companies began creating mobile resource intensive and power intensive applications, they have realized that cloud computing was one of the solutions that they could utilize to overcome smart device constraints. Cloud computing helps decrease memory usage and improve battery life. Mobile cloud computing is a current and expanding research area focusing on methods that allow smart mobile devices to take full advantage of cloud computing. Code offloading is one of the techniques employed in cloud computing with mobile devices. This research compares two dynamic offloading frameworks to determine which one is better in terms of execution time and battery life improvement.
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Worthy, William Tuley. "Aligning Social Media, Mobile, Analytics, and Cloud Computing Technologies and Disaster Response." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4696.
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After nearly 2 decades of advances in information and communications technologies (ICT) including social media, mobile, analytics, and cloud computing, disaster response agencies in the United States have not been able to improve alignment between ICT-based information and disaster response actions. This grounded theory study explored emergency response ICT managers' understanding of how social media, mobile, analytics, and cloud computing technologies (SMAC) are related to and can inform disaster response strategies. Sociotechnical theory served as the conceptual framework to ground the study. Data were collected from document reviews and semistructured interviews with 9 ICT managers from emergency management agencies in the state of Hawaii who had experience in responding to major disasters. The data were analyzed using open, axial coding, and selective coding. Three elements of a theory emerged from the findings: (a) the ICT managers were hesitant about SMAC technologies replacing first responder's radios to interoperate between emergency response agencies during major disasters, (b) the ICT managers were receptive to converging conventional ICT with SMAC technologies, and (c) the ICT managers were receptive to joining legacy information sharing strategies with new information sharing strategies based on SMAC technologies. The emergent theory offers a framework for aligning SMAC technologies and disaster response strategies. The implications for positive social change include reduced interoperability failures between disaster agencies during major catastrophes, which may lower the risk of casualties and deaths to emergency responders and disaster victims, thus benefiting them and their communities.
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Bou, Abdo Jacques. "Efficient and secure mobile cloud networking." Electronic Thesis or Diss., Paris 6, 2014. http://www.theses.fr/2014PA066551.
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MCC (Mobile Cloud Computing) est un candidat très fort pour le NGN (Next Generation Network) qui permet aux utilisateurs mobiles d’avoir une mobilité étendue, une continuité de service et des performances supérieures. Les utilisateurs peuvent s’attendre à exécuter leurs travaux plus rapidement, avec une faible consommation de batterie et à des prix abordables ; mais ce n’est pas toujours le cas. Diverses applications mobiles ont été développées pour tirer parti de cette nouvelle technologie, mais chacune de ces applications possède ses propres exigences. Plusieurs MCA (Mobile Cloud Architectures) ont été proposées, mais aucune n'a été adaptée pour toutes les applications mobiles, ce qui a mené à une faible satisfaction du client. De plus, l'absence d'un modèle d'affaires (business model) valide pour motiver les investisseurs a empêché son déploiement à l'échelle de production. Cette thèse propose une nouvelle architecture de MCA (Mobile Cloud Architecture) qui positionne l'opérateur de téléphonie mobile au cœur de cette technologie avec un modèle d'affaires de recettes. Cette architecture, nommée OCMCA (Operator Centric Mobile Cloud Architecture), relie l'utilisateur d’un côté et le fournisseur de services Cloud (CSP) de l'autre côté, et héberge un cloud dans son réseau. La connexion OCMCA / utilisateur peut utiliser les canaux multiplex menant à un service beaucoup moins cher pour les utilisateurs, mais avec plus de revenus, et de réduire les embouteillages et les taux de rejet pour l'opérateur. La connexion OCMCA / CSP est basée sur la fédération, ainsi un utilisateur qui a été enregistré avec n’importe quel CSP, peut demander que son environnement soit déchargé de cloud hébergé par l'opérateur de téléphonie mobile afin de recevoir tous les services et les avantages de OCMCA.Les contributions de cette thèse sont multiples. Premièrement, nous proposons OCMCA et nous prouvons qu'il a un rendement supérieur à toutes les autres MCA (Mobile Cloud Architectures). Le modèle d'affaires (business model) de cette architecture se concentre sur la liberté de l'abonnement de l'utilisateur, l'utilisateur peut ainsi être abonné à un fournisseur de cloud et être toujours en mesure de se connecter via cette architecture à son environnement à l'aide du déchargement et de la fédérationMobile cloud computing is a very strong candidate for the title "Next Generation Network" which empowers mobile users with extended mobility, service continuity and superior performance. Users can expect to execute their jobs faster, with lower battery consumption and affordable prices; however this is not always the case. Various mobile applications have been developed to take advantage of this new technology, but each application has its own requirements. Several mobile cloud architectures have been proposed but none was suitable for all mobile applications which resulted in lower customer satisfaction. In addition to that, the absence of a valid business model to motivate investors hindered its deployment on production scale. This dissertation proposes a new mobile cloud architecture which positions the mobile operator at the core of this technology equipped with a revenue-making business model. This architecture, named OCMCA (Operator Centric Mobile Cloud Architecture), connects the user from one side and the Cloud Service Provider (CSP) from the other and hosts a cloud within its network. The OCMCA/user connection can utilize multicast channels leading to a much cheaper service for the users and more revenues, lower congestion and rejection rates for the operator. The OCMCA/CSP connection is based on federation, thus a user who has been registered with any CSP, can request her environment to be offloaded to the mobile operator's hosted cloud in order to receive all OCMCA's services and benefits
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Sundaram, Madhu, and Kejvan Redjamand. "Strategy of Mobile Communication System Providers in Cloud (Implementation of cloud in telecom by Ericsson)." Thesis, Blekinge Tekniska Högskola, Sektionen för management, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2814.
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The telecom operators are experiencing low revenues due to reduction in voice calls and SMS in their networks mainly driven by communication services like Skype, Google talk, msn and other VOIP (voice over internet protocol) products. Instant messaging services and social networking are also taking away the operator’s customers reducing them to “dumb pipes” with the OTT (Over the Top) players like Google, Microsoft and other content providers making profits at the expense of the operator. The growth of operators’ revenue is not keeping pace with the growth of traffic in their networks creating the perception that the content providers and OTT players do not share their revenue generated using the operator’s infrastructure. The operators are therefore increasingly being reduced to act as “dumb pipes” connecting the content generated by OTT’s with the operator’s subscribers. The operator’s revenue stream in one-sided, only coming from the subscriber usually as a flat data plan. The operator’s are looking at new revenue models and the cloud computing market is a business opportunity which allows them to monetize their network resources with the possibility to earn revenue from both the subscriber and the content providers. The communication system providers who are the communication equipment vendors to the operators are indirectly affected from the shrinking operator revenue. As part of this thesis, we address how Telco’s and system vendors can differentiate in the cloud computing market against other cloud service providers and monetize the network resources which they own. We discuss the roles in the cloud value network and activities in the value chain that could be adopted and the business opportunities they could pursue. We begin by introducing the telecom operator market and the challenges faced by the industry today. The research question we are targeting is then discussed followed by the limitations of the thesis. The lecommunication industry, cloud computing technology and the relevant service delivery models are discussed. A literature review is then done to formulate our theory. Theory on strategy by Porter, Prahalad and other researchers who have contributed to the research on cloud computing are discussed. The method adopted is then proposed. Data collected is first presented and then analyzed before discussing the results of the analysis.
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Costa, Philipp Bernardino. "An approach for Mobile Multiplatform Offloading System." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13884.
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FundaÃÃo Cearense de Apoio ao Desenvolvimento Cientifico e TecnolÃgicoOs dispositivos mÃveis, especificamente os smartphones e os tablets, evoluÃram bastante em termos computacionais nos Ãltimos anos, e estÃo cada vez mais presentes no cotidiano das pessoas. Apesar dos avanÃos tecnolÃgicos, a principal limitaÃÃo desses dispositivos està relacionada com a questÃo energÃtica e com seu baixo desempenho computacional, quando comparado com um notebook ou computador de mesa. Com base nesse contexto, surgiu o paradigma do Mobile Cloud Computing (MCC), o qual estuda formas de estender os recursos computacionais e energÃticos dos dispositivos mÃveis atravÃs da utilizaÃÃo das tÃcnicas de offloading. A partir do levantamento bibliogrÃfico dos frameworks em MCC verificou-se, para o problema da heterogeneidade em plataformas mÃveis, ausÃncia de soluÃÃes de offloading. Diante deste problema, esta dissertaÃÃo apresenta um framework denominado de MpOS (Multiplataform Offloading System), que suporta a tÃcnica de offloading, em relaÃÃo ao desenvolvimento de aplicaÃÃes para diferentes plataformas mÃveis, sendo desenvolvido inicialmente para as plataformas Android e Windows Phone. Para validaÃÃo foram desenvolvidas para cada plataforma mÃvel, duas aplicaÃÃes mÃveis, denominadas de BenchImage e Collision, que demonstram o funcionamento da tÃcnica de offloading em diversos cenÃrios. No caso do experimento realizado com BenchImage foi analisado o desempenho da aplicaÃÃo mÃvel, em relaÃÃo à execuÃÃo local, no cloudlet server e em uma nuvem pÃblica na Internet, enquanto no experimento do Collision (um aplicativo de tempo real) foi analisado o desempenho do offloading, utilizando tambÃm diferentes sistemas de serializaÃÃo de dados. Em ambos os experimentos houve situaÃÃes que era mais vantajoso executar localmente no smartphone, do que realizar a operaÃÃo de offloading e vice-versa, por causa de diversos fatores associados com a qualidade da rede e com volume de processamento exigido nesta operaÃÃo.
The mobile devices, like smartphones and tablets, have evolved considerably in last years in computational terms. Despite advances in their hardware, these devices have energy constraints regarded to their poor computing performance. Therefore, on this context, a new paradigm called Mobile Cloud Computing (MCC) has emerged. MCC studies new ways to extend the computational and energy resources, on mobile devices using the offloading techniques. A literature survey about MCC, has shown that there is no support heterogeneity on reported studies. In response, we propose a framework called MpOS (Multi-platform Offloading System), which supports the offloading technique in mobile application development, for two mobile platforms (Android and Windows Phone). Two case studies were developed with MpOS solution in order to evaluate the framework for each mobile platform. These case studies show how the offloading technique works on several perspectives. In BenchImage experiment, the offloading performance was analyzed, concerning to its execution on a remote execution site (a cloudlet on local network and public cloud in the Internet). The Collision application promotes the analysis of the offloading technique performance on real-time application, also using different serialization systems. In both experiments, results show some situations where it was better to run locally on smarphone, than performing the offloading operation and vice versa.
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TaheriMonfared, Aryan. "Securing the IaaS Service Model of Cloud Computing Against Compromised Components." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13439.
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Cloud Computing is a new computing model, and its security aspects require special considerations. New characteristics of the cloud model have introduced new security challenges, and made some of the existing security techniques incompatible. Moreover, existing cloud environments are closed, operated by commercial providers, and their security mechanisms are proprietary as well as confidential. In other words, there is not much chance of observing how a real cloud environment is working, and how their providers adapt security measures to the new model.Therefore, we have chosen an open source cloud platform to build our own cloud environment. The OpenStack cloud software met our requirements, but it was not mature enough. We have done a deep analysis of this platform, identified potential attack targets in it, and discuss impacts of a successful attack.In order to secure our environment, the National Institute of Standards and Technology (NIST) incident handling guideline has been applied to the cloud model, and corresponding actions for each phase has been performed. To complete our study, we have proposed a set of cloud specific approaches that fulfill the incident handling requirements. These approaches address challenges identified in the guideline adaptation process. Additionally, we have studied the feasibility and compatibility of each approach against our deployed environment.Additionally, we also have submitted a paper to IEEE CloudCom 2011 conference, based on my thesis. A draft version of the paper is included in Appendix A.
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Costa, Philipp Bernardino. "Uma abordagem para offloading em múltiplas plataformas móveis." reponame:Repositório Institucional da UFC, 2014. http://www.repositorio.ufc.br/handle/riufc/18514.
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COSTA, Philipp Bernardino. Uma abordagem para offloading em múltiplas plataformas móveis. 2014. 104 f. Dissertação (Mestrado em ciência da computação)- Universidade Federal do Ceará, Fortaleza-CE, 2014.Submitted by Elineudson Ribeiro (elineudsonr@gmail.com) on 2016-07-12T15:14:02Z No. of bitstreams: 1 2014_dis_pbcosta.pdf: 2579064 bytes, checksum: 96c47daf2c7ccea16a7e2f6945cb1a7a (MD5)
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The mobile devices, like smartphones and tablets, have evolved considerably in last years in computational terms. Despite advances in their hardware, these devices have energy constraints regarded to their poor computing performance. Therefore, on this context, a new paradigm called Mobile Cloud Computing (MCC) has emerged. MCC studies new ways to extend the computational and energy resources, on mobile devices using the offloading techniques. A literature survey about MCC, has shown that there is no support heterogeneity on reported studies. In response, we propose a framework called MpOS (Multi-platform Offloading System), which supports the offloading technique in mobile application development, for two mobile platforms (Android and Windows Phone). Two case studies were developed with MpOS solution in order to evaluate the framework for each mobile platform. These case studies show how the offloading technique works on several perspectives. In BenchImage experiment, the offloading performance was analyzed, concerning to its execution on a remote execution site (a cloudlet on local network and public cloud in the Internet). The Collision application promotes the analysis of the offloading technique performance on real-time application, also using different serialization systems. In both experiments, results show some situations where it was better to run locally on smarphone, than performing the offloading operation and vice versa.
Os dispositivos móveis, especificamente os smartphones e os tablets, evoluíram bastante em termos computacionais nos últimos anos, e estão cada vez mais presentes no cotidiano das pessoas. Apesar dos avanços tecnológicos, a principal limitação desses dispositivos está relacionada com a questão energética e com seu baixo desempenho computacional, quando comparado com um notebook ou computador de mesa. Com base nesse contexto, surgiu o paradigma do Mobile Cloud Computing (MCC), o qual estuda formas de estender os recursos computacionais e energéticos dos dispositivos móveis através da utilização das técnicas de offloading. A partir do levantamento bibliográfico dos frameworks em MCC verificou-se, para o problema da heterogeneidade em plataformas móveis, ausência de soluções de offloading. Diante deste problema, esta dissertação apresenta um framework denominado de MpOS (Multiplataform Offloading System), que suporta a técnica de offloading, em relação ao desenvolvimento de aplicações para diferentes plataformas móveis, sendo desenvolvido inicialmente para as plataformas Android e Windows Phone. Para validação foram desenvolvidas para cada plataforma móvel, duas aplicações móveis, denominadas de BenchImage e Collision, que demonstram o funcionamento da técnica de offloading em diversos cenários. No caso do experimento realizado com BenchImage foi analisado o desempenho da aplicação móvel, em relação à execução local, no cloudlet server e em uma nuvem pública na Internet, enquanto no experimento do Collision (um aplicativo de tempo real) foi analisado o desempenho do offloading, utilizando também diferentes sistemas de serialização de dados. Em ambos os experimentos houve situações que era mais vantajoso executar localmente no smartphone, do que realizar a operação de offloading e vice-versa, por causa de diversos fatores associados com a qualidade da rede e com volume de processamento exigido nesta operação.
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Joubert, Jean-Pierre. "AC3P: an architecture using cloud computing for the provision of mathematical powerpoint content to feature phones." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1011088.
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The Govan Mbeki Mathematics Development Unit (GMMDU) provides additional mathematics content to learners via mathematics workshops and DVDs. Mathematics is presented in PPT format. The prominence of feature phone usage has been confirmed amongst learners in socio-economic disadvantaged schools, specifically those learners participating in the GMMDU mathematics workshops. Feature phones typically contain limited device resources such as memory, battery power, and network resources. Distributed computing provides the potential to facilitate a new class of mobile applications with the provision of off-device resources. The objective of this research was the design of an architecture using Cloud Computing for the provision of mathematics in the form of PPT slides to feature phones. The capabilities of typical feature phones were reviewed as well as various distributed computing architectures that demonstrate potential benefit to the mobile environment. An Architecture using Cloud Computing for Content Provision (AC3P) was subsequently designed and applied as a proof of concept to facilitate the provision of mathematics in the form of PPT slides to feature phones. The application of AC3P was evaluated for efficiency and effectiveness. It was demonstrated that the application of AC3P provided efficient and effective provision of PPT to feature phones. The successful application of AC3P provided evidence that Cloud Computing may be used to facilitate the provision of mathematics content to feature phones. It is evident that AC3P may be applied in domains other than the provision of mathematics.
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Sigwele, Tshiamo. "Energy Efficient Cloud Computing Based Radio Access Networks in 5G. Design and evaluation of an energy aware 5G cloud radio access networks framework using base station sleeping, cloud computing based workload consolidation and mobile edge computing." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16062.
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Fifth Generation (5G) cellular networks will experience a thousand-fold increase in data traffic with over 100 billion connected devices by 2020. In order to support this skyrocketing traffic demand, smaller base stations (BSs) are deployed to increase capacity. However, more BSs increase energy consumption which contributes to operational expenditure (OPEX) and CO2 emissions. Also, an introduction of a plethora of 5G applications running in the mobile devices cause a significant amount of energy consumption in the mobile devices. This thesis presents a novel framework for energy efficiency in 5G cloud radio access networks (C-RAN) by leveraging cloud computing technology. Energy efficiency is achieved in three ways; (i) at the radio side of H-C-RAN (Heterogeneous C-RAN), a dynamic BS switching off algorithm is proposed to minimise energy consumption while maintaining Quality of Service (QoS), (ii) in the BS cloud, baseband workload consolidation schemes are proposed based on simulated annealing and genetic algorithms to minimise energy consumption in the cloud, where also advanced fuzzy based admission control with pre-emption is implemented to improve QoS and resource utilisation (iii) at the mobile device side, Mobile Edge Computing (MEC) is used where computer intensive tasks from the mobile device are executed in the MEC server in the cloud. The simulation results show that the proposed framework effectively reduced energy consumption by up to 48% within RAN and 57% in the mobile devices, and improved network energy efficiency by a factor of 10, network throughput by a factor of 2.7 and resource utilisation by 54% while maintaining QoS.
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Turner, Hamilton Allen. "Optimizing, Testing, and Securing Mobile Cloud Computing Systems For Data Aggregation and Processing." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51209.
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Seamless interconnection of smart mobile devices and cloud services is a
key goal in modern mobile computing. Mobile Cloud Computing is the holistic
integration of contextually-rich mobile devices with
computationally-powerful cloud services to create high value
products for end users,
such as Apple's Siri and Google's Google Now product.
This coupling has enabled new paradigms and fields of research, such as
crowdsourced data collection, and has helped spur substantial
changes in research fields such as vehicular ad hoc networking.
However, the growth of Mobile Cloud Computing has resulted in a number of new
challenges, such as testing large-scale Mobile Cloud Computing systems, and increased
the importance of established challenges, such as ensuring that a
user's privacy is not compromised when interacting with a location-aware
service. Moreover, the concurrent development of the Infrastructure
as a Service paradigm has created inefficiency in how Mobile Cloud Computing systems are
executed on cloud platforms.
To address these gaps in the existing research, this dissertation
presents a number of software and algorithmic solutions to
1) preserve user locational privacy, 2) improve the speed and
effectiveness of deploying and executing Mobile Cloud Computing systems on modern cloud infrastructure,
and 3) enable large-scale research on Mobile Cloud Computing systems without requiring
substantial domain expertise.Ph. D.
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Tsongoro, Lavender. "A service composition platform in cloud computing using mobile devices for smart shopping." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/22868.
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The development of the Next Generation Networks (NGN) such as LTE, WiMax and 5G networks has resulted in the development of more diverse mobile services. Many voice and video services have been developed (e.g. Viber, Skype and WhatsApp). Social networking sites have also been developed (e.g. Facebook, Instagram and Twitter). Users of these services are increasingly expecting and demanding more complex services which have more capabilities that can improve their day to day business. Users want services that are reliable, fast and easy to use. To effectively design and implement services, Service Oriented Architecture (SOA) principles are useful and some of the advantages of designing services using SOA principles are: • Improved interoperability; • Cross platform and cross application integration; • Reusability; • Service composition. Service composition has the advantage that customized services with more features can be developed by combining two or more basic services. In this research, SOA principles are used to design a cloud based Mobile Smart Shopping Service Platform. Canal Walk Shopping Mall, which is located in Cape Town, South Africa is used as a case study. Various mobile services are composed in order to solve the problem of getting information about the services provided by the shopping mall and also to show the available parking bays, which has become a major concern due to the rapid growth of the surrounding residential and business areas. Performance measurements for the Smart Shopping service are then conducted to test its power consumption, memory usage, bandwidth usage and application timeline. Conclusions are drawn and recommendations for possible future development are then provided.
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Castellanos, Nájera Eduardo. "Evaluating mobile edge-computing on base stations : Case study of a sign recognition application." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186712.
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Mobile phones have evolved from feature phones to smart phones with processing power that can compete with personal computers ten years ago. Nevertheless, the computing power of personal computers has also multiplied in the past decade. Consequently, the gap between mobile platforms and personal computers and servers still exists. Mobile Cloud Computing (MCC) has emerged as a paradigm that leverages this difference in processing power. It achieve this goal by augmenting smart phones with resources from the cloud, including processing power and storage capacity. Recently, Mobile Edge Computing (MEC) has brought the benefits from MCC one hop away from the end user. Furthermore, it also provides additional advantages, e.g., access to network context information, reduced latency, and location awareness. This thesis explores the advantages provided by MEC in practice by augmenting an existing application called Human-Centric Positioning System (HoPS). HoPS is a system that relies on context information and information extracted from a photograph of signposts to estimate a user's location. This thesis presents the challenges of enabling HoPS in practice, and implement strategies that make use of the advantages provided by MEC to tackle the challenges. Afterwards, it presents an evaluation of the resulting system, and discusses the implications of the results. To summarise, we make three primary contributions in this thesis: (1) we find out that it is possible to augment HoPS and improve its response time by a factor of four by offloading the code processing; (2) we can improve the overall accuracy of HoPS by leveraging additional processing power at the MEC; (3) we observe that improved network conditions can lead to reduced response time, nevertheless, the difference becomes insignificant compared with the heavy processing required.Utvecklingen av mobiltelefoner har skett på en rusande takt. Dagens smartphones har mer processorkraft än vad stationära datorer hade för tio år sen. Samtidigt så har även datorernas processorer blivit mycket starkare. Därmed så finns det fortfarande klyftor mellan mobil plattform och datorer och servrar. Mobile Cloud Computing (MCC) används idag som en hävstång för de olika plattformernas processorkraft. Den uppnår detta genom att förbättra smartphonens processorkraft och datorminne med hjälp från datormolnet. På sistånde så har Mobile Edge Computing (MEC) gjort så att förmånerna med MCC är ett steg ifrån slutanvändaren. Dessutom så finns det andra fördelar med MEC, till exempel tillgång till nätverkssammanhangsinformation, reducerad latens, och platsmedvetenhet. Denna tes utforskar de praktiska fördelarna med MEC genom att använda tillämpningsprogrammet Human-Centric Positioning System (HoPS). HoPS är ett system som försöker att hitta platsen där användaren befinner sig på genom att använda sammanhängande information samt information från bilder med vägvisare. Tesen presenterar även de hinder som kan uppstå när HoPS implementeras i verkligheten, och använder förmåner från MEC för att hitta lösningar till eventuella hinder. Sedan så utvärderar och diskuterar tesen det resulterande systemet. För att sammanfatta så består tesen av tre huvuddelar: (1) vi tar reda på att det är möjligt att förbättra HoPS och minska svarstiden med en fjärdedel genom att avlasta kodsprocessen; (2) vi tar reda på att man kan generellt förbättra HoPS noggrannhet genom att använda den utökade processorkraften från MEC; (3) vi ser att förbättrade nätverksförutsättningar kan leda till minskad svarstid, dock så är skillnaden försumbar jämfört med hur mycket bearbetning av information som krävs.
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"Cloud Services Brokerage for Mobile Ubiquitous Computing." Thesis, 2015. http://hdl.handle.net/10388/ETD-2015-06-2084.
Full textAbstract:
Recently, companies are adopting Mobile Cloud Computing (MCC) to efficiently deliver enterprise services to users (or consumers) on their personalized devices. MCC is the facilitation of mobile devices (e.g., smartphones, tablets, notebooks, and smart watches) to access virtualized services such as software applications, servers, storage, and network services over the Internet. With the advancement and diversity of the mobile landscape, there has been a growing trend in consumer attitude where a single user owns multiple mobile devices. This paradigm of supporting a single user or consumer to access multiple services from n-devices is referred to as the Ubiquitous Cloud Computing (UCC) or the Personal Cloud Computing.
In the UCC era, consumers expect to have application and data consistency across their multiple devices and in real time. However, this expectation can be hindered by the intermittent loss of connectivity in wireless networks, user mobility, and peak load demands.
Hence, this dissertation presents an architectural framework called, Cloud Services Brokerage for Mobile
Ubiquitous Cloud Computing (CSB-UCC), which ensures soft real-time and reliable services consumption on multiple devices of users. The CSB-UCC acts as an application middleware broker that connects the n-devices of users to the multi-cloud services. The designed system determines the multi-cloud services based on the user's subscriptions and the n-devices are determined through device registration on the broker. The preliminary evaluations of the designed system shows that the following are achieved: 1) high scalability through the adoption of a distributed architecture of the brokerage service, 2) providing soft real-time application synchronization for consistent user experience through an enhanced mobile-to-cloud proximity-based access technique, 3) reliable error recovery from system failure through transactional services re-assignment to active nodes, and 4) transparent audit trail through access-level and context-centric provenance.