Relevant bibliographies by topics / Mobile cloud computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mobile cloud computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Mobile cloud computing"

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R, Jain. "Survey on Mobile Cloud Computing." Advances in Robotic Technology 2, no. 1 (January 19, 2024): 1–7. http://dx.doi.org/10.23880/art-16000111.

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The paper explores how cloud computing offers the capacity to improve computing features and application services while addressing its transformative impact on mobile device systems. It recognizes, yet, the security risks associated with transferring data and computing. Using various cloud types for secure information searches and security-critical activities, the research proposal proposes a secure exporting architecture to basic clouds. It shows the significance of cryptography, confidentiality security measures, and data security methods in solving these security issues with cloud computing and mobile cloud computing (MCC). From the perspective of the specific challenges of mobile environments, that abstract's argument indicates the need for further research to enhance mobile cloud-based applications and improve these security technologies.
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Gururaj, H. L. "A comprehensive analysis of security challenges in mobile cloud computing." i-manager’s Journal on Cloud Computing 10, no. 2 (2023): 35. http://dx.doi.org/10.26634/jcc.10.2.20419.

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The computing capability of mobile systems is enhanced by cloud computing. Mobile devices can rely on cloud computing to perform computationally intensive operations such as data mining and searching. Mobile cloud computing refers to the availability of cloud computing services in a mobile environment. It is a combination of mobile networks and cloud computing, providing optimal services for mobile users. The use of mobile cloud computing overcomes performance-related obstacles, such as bandwidth, storage capacity, and battery life, as well as environment-related issues like availability, scalability, and heterogeneity. Security threats have become obstacles in the rapid adaptability of the mobile cloud computing paradigm, and there is a significant risk associated with migrating storage and data processing from mobiles to clouds. User privacy and the integrity of data and applications are key concerns that most cloud providers prioritize. This paper reviews the concept of mobile cloud computing and the security issues inherent within the context of mobile applications and cloud computing. It analyzes and compares various possible approaches proposed by researchers to address security and privacy issues in MCC. Despite widespread adoption, challenges like interoperability and standardization persist. Ongoing efforts focus on establishing common protocols, while research explores integrating technologies like edge computing and AI to enhance mobile cloud capabilities. This paper examines the dynamic landscape of MCC, addressing security concerns and exploring advancements and challenges, contributing to ongoing discussions on optimization, security, and the future of mobile cloud computing. As the field continues to evolve, researchers are actively working on developing comprehensive frameworks that not only address current security challenges but also anticipate and mitigate emerging threats in the ever-changing landscape of mobile cloud computing.
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Sumit, Sumit, Ms Kirti Bhatia, and Ms Shalini Bhadola. "Cloud Computing using Mobile Phone." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 995–1000. http://dx.doi.org/10.31142/ijtsrd23145.

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R. Nuiaa, Riyadh. "Mobile cloud is the infrastructure that facilitates the offloading of storage and computing resources of mobile devices pertaining mobile applications to cloud computing. Mobile devices can run expensive applications using mobile cloud as they can outsour." Journal of Education College Wasit University 1, no. 22 (January 18, 2018): 759–72. http://dx.doi.org/10.31185/eduj.vol1.iss22.234.

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Mobile cloud is the infrastructure that facilitates the offloading of storage and computing resources of mobile devices pertaining mobile applications to cloud computing. Mobile devices can run expensive applications using mobile cloud as they can outsource services to cloud while providing interface for mobile users. Emerging mobile applications that are expensive can overcome the inherent problems of hand held devices through the concept of mobile cloud computing. The offloading process provide mobiles a rich platform for pervasive computing with on-demand services linked to cloud computing through mobile cloud infrastructure. Thus the mobile cloud computing is an inevitable phenomenon which bring about plethora of pros besides the mobility. The mobile cloud users can perform their resource intensive operations on the fly without time and geographical restrictions. In spite of the advantages it bestows mobile cloud computing has its own security issues. This paper throws light into the security issues and solutions in terms of secure channels transmission in mobile cloud computing. In this paper, we present state-of-the-art of mobile cloud computing besides its security aspects that are to be taken care of for successful mobile cloud computing.
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Wang, Tian, Yucheng Lu, Zhihan Cao, Lei Shu, Xi Zheng, Anfeng Liu, and Mande Xie. "When Sensor-Cloud Meets Mobile Edge Computing." Sensors 19, no. 23 (December 3, 2019): 5324. http://dx.doi.org/10.3390/s19235324.

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Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-clouds has greatly enhanced the computing power and storage capacity of traditional WSNs via exploiting the advantages of cloud computing in resource utilization. However, there are still many problems to be solved in sensor-clouds, such as the limitations of WSNs in terms of communication and energy, the high latency, and the security and privacy issues due to applying a cloud platform as the data processing and control center. In recent years, mobile edge computing has received increasing attention from industry and academia. The core of mobile edge computing is to migrate some or all of the computing tasks of the original cloud computing center to the vicinity of the data source, which gives mobile edge computing great potential in solving the shortcomings of sensor-clouds. In this paper, the latest research status of sensor-clouds is briefly analyzed and the characteristics of the existing sensor-clouds are summarized. After that we discuss the issues of sensor-clouds and propose some applications, especially a trust evaluation mechanism and trustworthy data collection which use mobile edge computing to solve the problems in sensor-clouds. Finally, we discuss research challenges and future research directions in leveraging mobile edge computing for sensor-clouds.
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Hussein, Karim Qassim. "Multimedia Information Time Balance Management in Mobile Cloud Environment Supported By Case Study." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 19 (October 19, 2022): 118–32. http://dx.doi.org/10.3991/ijim.v16i19.33615.

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Mobile cloud computing is used to define and determine computing services with a structure model. The data and resource of any service will be retrieved from cloud computing through internet service, some tools, and user interface (web-based or application). Mobile Cloud Computing (MCC) is a hybrid of cloud computing and mobile computing. Multimedia Information is the core of Mobile Cloud information because of the sizable information of multimedia particularly video streaming. Mobile Cloud mostly handles and processes that information. MCC is one of the business expressions with the real environment in the IT world. The concept of the MCC is still in the beginner stage of advancement. So, the handle of the innovation in a careful way especially in the bearing of future research should be provide. In this paper, an algorithm is throttled load balancing for mobile clouds has been presented within an example of Multimedia information. The results has shown that the load balancing of cloud computing environment. In this scenario, load balancing techniques in mobile cloud computing can be employed and can successfully manage time through the cloud.
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Akherfi, Khadija, Hamid Harroud, and Michael Gerndt. "A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability." International Journal of Adaptive, Resilient and Autonomic Systems 7, no. 1 (January 2016): 41–58. http://dx.doi.org/10.4018/ijaras.2016010103.

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With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.
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Somula, Rama Subbareddy, and Sasikala R. "A Survey on Mobile Cloud Computing: Mobile Computing + Cloud Computing (MCC = MC + CC)." Scalable Computing: Practice and Experience 19, no. 4 (December 29, 2018): 309–37. http://dx.doi.org/10.12694/scpe.v19i4.1411.

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In recent years, the mobile devices become popular for communication and running advanced real time applications such as face reorganization and online games. Although, mobile devices advanced for providing significant benefits for mobile users. But still, these devices suffers with limited recourses such as computation power, battery and storage space due to the portable size. However, The Cloud Technology overcome the limitations of mobile computing with better performance and recourses. The cloud technology provides enough computing recourses to run mobile applications as storage computing power on cloud platform. Therefore, the novel technology called mobile cloud computing (MCC) is introduced by integrating two technologies (Mobile Computing, Cloud Computing) in order to overcome the limitations(such as Battery life, Storage capacity, Processing capacity) of Mobile Devices by offloading application to recourse rich Remote server. This paper presents an overview of MCC, the advantages of MCC, the related concepts and the technology beyond various offloading frameworks, the architecture of the MCC, Cloudlet technology, security and privacy issues and limitations of mobile cloud computing. Finally, we conclude with feature research directions in MCC.
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Arun, Lakshna, and T. N. Ravi. "Mobile Cloud Computing: A Literature Survey." Asian Journal of Engineering and Applied Technology 7, no. 2 (November 5, 2018): 80–85. http://dx.doi.org/10.51983/ajeat-2018.7.2.1003.

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Mobile cloud computing (MCC) is the availability of cloud computing services in a mobile environment. By providing optimal services for mobile users, MCC incorporates the elements of mobile networks and cloud computing. In mobile cloud computing, all the data and complicated computing modules can be processed in clouds, and mobile devices do not need a powerful configuration like CPU speed, memory capacity, etc. However, the mobile devices are facing up with many struggles in their resources (e.g., battery life, storage, and bandwidth) and communications (e.g., privacy, mobility, and security). These challenges have a significant effect on the improvement of service qualities. In this paper, a literature survey on the MCC and security issues in MCC has presented.
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Mohammad, Alshamaileh, and Li Chunlin. "Cloud- Based Mobile Augmentation in Mobile Cloud Computing." International Journal of Future Generation Communication and Networking 9, no. 8 (August 31, 2016): 65–76. http://dx.doi.org/10.14257/ijfgcn.2016.9.8.07.

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Dissertations / Theses on the topic "Mobile cloud computing"

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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.
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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 existantes
The 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
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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.
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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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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.
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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.
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Houacine, Fatiha. "Service-Oriented Architecture for the Mobile Cloud Computing." Electronic Thesis or Diss., Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1110.

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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 existantes
The 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
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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.
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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.
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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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Books on the topic "Mobile cloud computing"

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Qiu, Meikang, and Keke Gai. Mobile Cloud Computing. Boca Raton : CRC Press, 2017.: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315156088.

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De, Debashis, Anwesha Mukherjee, and Rajkumar Buyya, eds. Green Mobile Cloud Computing. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8.

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Hua, Gang, and Xian-Sheng Hua, eds. Mobile Cloud Visual Media Computing. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24702-1.

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Soyata, Tolga. Enabling real-time mobile cloud computing through emerging technologies. Hershey PA: Information Science Reference, 2015.

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Cyber foraging: Bridging mobile and cloud computing. [San Rafael, Calif.]: Morgan & Claypool, 2012.

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Mastorakis, George, Constandinos X. Mavromoustakis, and Evangelos Pallis. Resource management of mobile cloud computing networks and environments. Hershey, PA: Information Science Reference, 2015.

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Antonio Miguel Rosado da Cruz and Sara Paiva. Modern software engineering methodologies for mobile and cloud environments. Hershey, PA: Information Science Reference, 2016.

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Rodrigues, Joel, and Kai Lin. Mobile networks and cloud computing convergence for progressive services and applications. Edited by Lloret Mauri Jaime. Hershey, PA: Information Science Reference, an imprint of IGI Global, 2014.

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Inc, ebrary, ed. Beginning mobile application development in the cloud. Indianapolis, Ind: Wiley, 2012.

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Kim, Haengkon, and Roger Lee, eds. Software Engineering in IoT, Big Data, Cloud and Mobile Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64773-5.

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Book chapters on the topic "Mobile cloud computing"

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Abolfazli, Saeid, Zohreh Sanaei, Mohammad Hadi Sanaei, Mohammad Shojafar, and Abdullah Gani. "Mobile Cloud Computing." In Encyclopedia of Cloud Computing, 29–40. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118821930.ch3.

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Samad, Javeria, Seng W. Loke, and Karl Reed. "Mobile Cloud Computing." In Cloud Services, Networking, and Management, 153–90. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119042655.ch7.

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Juan Ferrer, Ana. "Mobile Cloud Computing." In Beyond Edge Computing, 43–60. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23344-9_4.

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Chandrasekaran, Ishwarya. "Mobile Computing with Cloud." In Advances in Parallel Distributed Computing, 513–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24037-9_51.

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Barton, Thomas, and Marco Graf. "Reiseblogging in der Cloud: Architektur, Funktionen und mobile App." In Cloud Computing, 103–12. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20967-4_8.

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Gabner, Rene, Karin Anna Hummel, and Hans-Peter Schwefel. "Modeling Movable Components for Disruption Tolerant Mobile Service Execution." In Cloud Computing, 231–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12636-9_16.

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Huang, Junjian, Yubin Zhao, XiaoFan Li, and Cheng-Zhong Xu. "Ultra-Low Power Localization System Using Mobile Cloud Computing." In Cloud Computing – CLOUD 2019, 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_1.

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Mukherjee, Anwesha, Debashis De, and Rajkumar Buyya. "Green Mobile Cloud Computing forIndustry 5.0." In Green Mobile Cloud Computing, 3–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08038-8_1.

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"Mobile Computing." In Mobile Cloud Computing, 1–28. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b19208-2.

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"Mobile Computing." In Mobile Cloud Computing, 27–54. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b19208-7.

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Conference papers on the topic "Mobile cloud computing"

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Alzahrani, Ahmed, Nasser Alalwan, and Mohamed Sarrab. "Mobile cloud computing." In the 7th Euro American Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2590651.2590670.

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Fellah, Hadjer, Chaker Mezioud, and Mohamed Chaouki Batouche. "Mobile Cloud Computing." In NISS2020: The 3rd International Conference on Networking, Information Systems & Security. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3386723.3387880.

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Mtibaa, Abderrahmen, Khaled A. Harras, Karim Habak, Mostafa Ammar, and Ellen W. Zegura. "Towards Mobile Opportunistic Computing." In 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.163.

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Nam, Deok Hee. "A Comparative Study of Mobile Cloud Computing, Mobile Edge Computing, and Mobile Edge Cloud Computing." In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). IEEE, 2023. http://dx.doi.org/10.1109/csce60160.2023.00204.

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Sharma, Rishabh, Sanjay Kumar, and Munesh Chandra Trivedi. "Mobile Cloud Computing: A Needed Shift from Cloud to Mobile Cloud." In 2013 5th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2013. http://dx.doi.org/10.1109/cicn.2013.116.

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Lee, Jaehun, Hochul Lee, Young Choon Lee, Hyuck Han, and Sooyong Kang. "Platform Support for Mobile Edge Computing." In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.84.

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Radouane, Baghiani, Guezouli Lyamine, Korichi Ahmed, and Barka Kamel. "Scalable Mobile Computing: From Cloud Computing to Mobile Edge Computing." In 2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS). IEEE, 2022. http://dx.doi.org/10.1109/niss55057.2022.10085600.

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Halili, Festim, Verda Misimi, Rilinda Iseini, and Mirije Salihi. "Mobile Cloud Computing: A new way of Cloud Computing." In University for Business and Technology International Conference. Pristina, Kosovo: University for Business and Technology, 2017. http://dx.doi.org/10.33107/ubt-ic.2017.85.

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Bahrami, Mehdi. "Cloud Computing for Emerging Mobile Cloud Apps." In 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud). IEEE, 2015. http://dx.doi.org/10.1109/mobilecloud.2015.40.

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Gamlo, Amina H., Ning Zhang, and Omaimah Bamasag. "Mobile Cloud Computing: Security Analysis." In 2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud). IEEE, 2017. http://dx.doi.org/10.1109/mobilecloud.2017.27.

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Reports on the topic "Mobile cloud computing"

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Zhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3895.

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Abstract:
We analyzed the main cloud services in the article. We also described the main contribution of mobile cloud technology to education. The article presents the author’s development from the field of mobile cloud education in higher mathematics. The design architecture of this application is described in detail: QR generator and scanner, authorization, sending tasks. Block diagrams and images are presented that clearly demonstrate the operation of the application. We showed an example of solving the integral from the section of integral calculus for higher mathematics and showed how to download the answer in the form of a QR code and find out whether it is correct or incorrect (this can be seen by the color on the smart phone screen). It is shown how this technology helps the teacher save time for checking assignments completed by students. This confirms its effectiveness. Such an application provides students and teachers with the ability to store and process data on a cloud computing platform.
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