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Dissertations / Theses on the topic 'CLOUD FRAMEWORK'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

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1

Falk, Matthew D. "Cryptographic cloud storage framework." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85417.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 59).<br>The cloud prevents cheap and convenient ways to create shared remote repositories. One concern when creating systems that provide security is if the system will be able to remain secure when new attacks are developed. As tools and techniques for breaking security systems advance, new ideas are required to provide the security guarantees that may have been exploited. This project pre

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2

RODRIGUES, Thiago Gomes. "Cloudacc: a cloud-based accountability framework for federated cloud." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18590.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-04-19T15:09:08Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tgr_thesis.pdf: 4801672 bytes, checksum: ce1d30377cfe8fad52dbfd02d55554e6 (MD5)<br>Made available in DSpace on 2017-04-19T15:09:08Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tgr_thesis.pdf: 4801672 bytes, checksum: ce1d30377cfe8fad52dbfd02d55554e6 (MD5) Previous issue date: 2016-09-08<br>The evolution of software service delivery has changed

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Aldakheel, Eman A. "A Cloud Computing Framework for Computer Science Education." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1322873621.

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4

Falk, Sebastian, and Andriy Shyshka. "The Cloud Marketplace : A Capability-Based Framework for Cloud Ecosystem Governance." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-23968.

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Within the last five years, the market of cloud computing has shown rapid growth. However, despite the increasing popularity, researchers highlight numerous concerns regarding limited interoperability of systems hosted by different cloud providers as well as restricted customization of cloud solutions. In order to counter aforemen-tioned challenges, this study investigates the idea of introducing a marketplace for cloud services that leverage the service-oriented architecture (SOA) paradigm and of-fers software solutions, computing capabilities from cloud providers, components developed by thi

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Jallow, Alieu. "CLOUD-METRIC: A Cost Effective Application Development Framework for Cloud Infrastructures." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300681.

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Classic application development model primarily focuses on two key objectives: scalable system architecture and best possible performance. However, This model of application development works well on the private resources, but with the growing amount of public IaaS it is essential to find a balance between the cost and the performance of an application. In this thesis, we have proposed CLOUD-METRIC: A Cost Effective Application Development for Cloud Infrastructures. The framework allows users to estimate the cost of running applications on public cloud infrastructures during the development ph

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Khan, Syeduzzaman. "A PROBABILISTIC MACHINE LEARNING FRAMEWORK FOR CLOUD RESOURCE SELECTION ON THE CLOUD." Scholarly Commons, 2020. https://scholarlycommons.pacific.edu/uop_etds/3720.

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The execution of the scientific applications on the Cloud comes with great flexibility, scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud service providers such as Amazon Web service (AWS), Azure, Google Cloud Platform (GCP) offer various general purposes, memory-intensive, and compute-intensive Cloud instances for the execution of scientific applications. The scientific community, especially small research institutions and undergraduate universities, face many hurdles while conducting high-performance computing research in the absence of large dedicated cl

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Mengistu, Tessema Mindaye. "RESOURCE MANAGEMENT FRAMEWORK FOR VOLUNTEER CLOUD COMPUTING." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1613.

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The need for high computing resources is on the rise, despite the exponential increase of the computing capacity of workstations, the proliferation of mobile devices, and the omnipresence of data centers with massive server farms that housed tens (if not hundreds) of thousands of powerful servers. This is mainly due to the unprecedented increase in the number of Internet users worldwide and the Internet of Things (IoTs). So far, Cloud Computing has been providing the necessary computing infrastructures for applications, including IoT applications. However, the current cloud infrastructures tha

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8

Zhang, Amy (Amy X. ). "A functional flow framework for cloud computing." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77453.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 53).<br>This thesis covers a basic framework to calculate the maximum computation rate of a set of functions over a network. These functions are broken down into a series of computations, which are distributed among nodes of the network, with the output sent to the terminal node. We analyze two models with different types of computation costs, a linear computation cost model and a maximum computa

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Chaudhry, Nauman Riaz. "Workflow framework for cloud-based distributed simulation." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/14778.

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Although distributed simulation (DS) using parallel computing has received considerable research and development in a number of compute-intensive fields, it has still to be significantly adopted by the wider simulation community. According to scientific literature, major reasons for low adoption of cloud-based services for DS execution are the perceived complexities of understanding and managing the underlying architecture and software for deploying DS models, as well as the remaining challenges in performance and interoperability of cloud-based DS. The focus of this study, therefore, has been

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Li, Min. "A resource management framework for cloud computing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/47804.

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The cloud computing paradigm is realized through large scale distributed resource management and computation platforms such as MapReduce, Hadoop, Dryad, and Pregel. These platforms enable quick and efficient development of a large range of applications that can be sustained at scale in a fault-tolerant fashion. Two key technologies, namely resource virtualization and feature-rich enterprise storage, are further driving the wide-spread adoption of virtualized cloud environments. Many challenges arise when designing resource management techniques for both native and virtualized data centers. Fi

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Pech, David. "Cloud Framework on Infrastructure as a Service." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236185.

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Práce se zabývá podrobnou analýzou požadavků na moderní aplikační rámec pro prostředí cloud. Za pomoci standardních návrhových vzorů a technik připravuje teoretický základ a pravidla, která musí uvnitř rámce platit. V práci je realizována referenční implementace a připravena demonstrační aplikace středního rozsahu, aby představila výhody plynoucí z užití frameworku.

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Akrir, Khaled Ali Ahmed. "Cloud computing technology framework and reducing risks." Doctoral thesis, Česká zemědělská univerzita v Praze, 2015. http://www.nusl.cz/ntk/nusl-259675.

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The thesis investigates, in a qualitative way, the vectors that contribute to cloud computing risks in the areas of security, business, and compliance. The focus of this research is on the identification of risk vectors that affect cloud computing and the creation of a framework that can help IT managers in their cloud adoption process. Economic pressures on businesses are creating a demand for an alternative delivery of the model that can provide flexible payments, dramatic cuts in capital investment, and reductions in operational cost. Cloud computing is positioned to take advantage of these

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Kercher, Kellie Elizabeth. "Distributed Agent Cloud-Sourced Malware Reporting Framework." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4250.

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Malware is a fast growing threat that consists of a malicious script or piece of software that is used to disrupt the integrity of a user's experience. Antivirus software can help protect a user against these threats and there are numerous vendors users can choose from for their antivirus protection. However, each vendor has their own set of virus definitions varying in resources and capabilities in recognizing new threats. Currently, a persistent system is not in place that measures and displays data on the performance of antivirus vendors in responding to new malware over a continuous period

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Al-Dhuraibi, Yahya. "Flexible framework for elasticity in cloud computing." Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1I079/document.

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Le Cloud computing a gagné beaucoup de popularité et a reçu beaucoup d'attention des deux mondes, industriel et académique, puisque cela les libère de la charge et le coût de la gestion de centres de données locaux. Toutefois, le principal facteur motivant l'utilisation du Cloud est sa capacité de fournir des ressources en fonction des besoins du client. Ce concept est appelé l’élasticité. Adapter les applications Cloud lors de leur exécution en fonction des variations de la demande est un grand défi. En outre, l'élasticité de Cloud est diverse et hétérogène car elle englobe différentes approc

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Maskara, Arvind. "A Process Framework for Managing Quality of Service in Private Cloud." ScholarWorks, 2014. https://scholarworks.waldenu.edu/dissertations/3220.

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As information systems leaders tap into the global market of cloud computing-based services, they struggle to maintain consistent application performance due to lack of a process framework for managing quality of service (QoS) in the cloud. Guided by the disruptive innovation theory, the purpose of this case study was to identify a process framework for meeting the QoS requirements of private cloud service users. Private cloud implementation was explored by selecting an organization in California through purposeful sampling. Information was gathered by interviewing 23 information technology (I

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Abbasi, Abdul Ghafoor. "CryptoNET : Generic Security Framework for Cloud Computing Environments." Doctoral thesis, KTH, Kommunikationssystem, CoS, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32786.

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The area of this research is security in distributed environment such as cloud computing and network applications. Specific focus was design and implementation of high assurance network environment, comprising various secure and security-enhanced applications. “High Assurance” means that - our system is guaranteed to be secure, - it is verifiable to provide the complete set of security services, - we prove that it always functions correctly, and - we justify our claim that it can not be compromised without user neglect and/or consent. W

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Wang, Yongzhi. "Constructing Secure MapReduce Framework in Cloud-based Environment." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2238.

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MapReduce, a parallel computing paradigm, has been gaining popularity in recent years as cloud vendors offer MapReduce computation services on their public clouds. However, companies are still reluctant to move their computations to the public cloud due to the following reason: In the current business model, the entire MapReduce cluster is deployed on the public cloud. If the public cloud is not properly protected, the integrity and the confidentiality of MapReduce applications can be compromised by attacks inside or outside of the public cloud. From the result integrity’s perspective, if any

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Schmahmann, Adin R. "SURGE : the Secure Cloud Storage and Collaboration Framework." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/96456.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 38).<br>SURGE is a Secure Cloud Storage and Collaboration Framework that is designed to be easy for application developers to use. The motivation is to allow application developers to mimic existing cloud based applications, but make them cryptographically secure, in addition to allowing application developers to come up with entirely new secure cloud based applications. SURGE stores all of

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Gonzalez, Nelson Mimura. "MPSF: cloud scheduling framework for distributed workflow execution." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-03032017-083914/.

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Cloud computing represents a distributed computing paradigm that gained notoriety due to its properties related to on-demand elastic and dynamic resource provisioning. These characteristics are highly desirable for the execution of workflows, in particular scientific workflows that required a great amount of computing resources and that handle large-scale data. One of the main questions in this sense is how to manage resources of one or more cloud infrastructures to execute workflows while optimizing resource utilization and minimizing the total duration of the execution of tasks (makespan). T

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Ullah, Amjad. "Towards a novel biologically-inspired cloud elasticity framework." Thesis, University of Stirling, 2017. http://hdl.handle.net/1893/26064.

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With the widespread use of the Internet, the popularity of web applications has significantly increased. Such applications are subject to unpredictable workload conditions that vary from time to time. For example, an e-commerce website may face higher workloads than normal during festivals or promotional schemes. Such applications are critical and performance related issues, or service disruption can result in financial losses. Cloud computing with its attractive feature of dynamic resource provisioning (elasticity) is a perfect match to host such applications. The rapid growth in the usage of

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Coss, David. "Cloud Privacy Audit Framework: A Value-Based Design." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3106.

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The rapid expansion of cloud technology provides enormous capacity, which allows for the collection, dissemination and re-identification of personal information. It is the cloud’s resource capabilities such as these that fuel the concern for privacy. The impetus of these concerns are not too far removed from those expressed by Mason in 1986, when he identified privacy as one of the biggest ethical issues facing the information age. There seems to be continuous ebb and flow relationship with respect to privacy concerns and the development of new information communication technologies such as cl

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Al-Aqrabi, Hussain. "Cloud BI : a multi-party authentication framework for securing business intelligence on the Cloud." Thesis, University of Derby, 2016. http://hdl.handle.net/10545/615020.

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Business intelligence (BI) has emerged as a key technology to be hosted on Cloud computing. BI offers a method to analyse data thereby enabling informed decision making to improve business performance and profitability. However, within the shared domains of Cloud computing, BI is exposed to increased security and privacy threats because an unauthorised user may be able to gain access to highly sensitive, consolidated business information. The business process contains collaborating services and users from multiple Cloud systems in different security realms which need to be engaged dynamically

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Firozbakht, Farzad. "Cloud Computing Service Discovery Framework for IaaS and PaaS Models." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35595.

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Cloud service discovery is a new challenge which requires a dedicated framework in order to approach it. Over the past few years, several methods and frameworks have been developed for cloud service discovery but they are mostly designed for all cloud computing models in general which are not optimal. The three cloud computing models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), each computing model has its own set of resources. Having one single discovery framework for all three is not very efficient and the implementatio

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Yadekar, Yaser. "A framework to manage uncertainties in cloud manufacturing environment." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11776.

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This research project aims to develop a framework to manage uncertainty in cloud manufacturing for small and medium enterprises (SMEs). The framework includes a cloud manufacturing taxonomy; guidance to deal with uncertainty in cloud manufacturing, by providing a process to identify uncertainties; a detailed step-by-step approach to managing the uncertainties; a list of uncertainties; and response strategies to security and privacy uncertainties in cloud manufacturing. Additionally, an online assessment tool has been developed to implement the uncertainty management framework into a real life

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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

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Runsewe, Olubisi Atinuke. "A Policy-Based Management Framework for Cloud Computing Security." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31503.

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Cloud Computing has changed how computing is done as applications and services are being consumed from the cloud. It has attracted a lot of attention in recent times due to the opportunities it offers. While Cloud Computing is economical, the security challenges it poses are quite significant and this has affected the adoption rate of the technology. With the potential vulnerabilities being introduced by moving data to the cloud, it has become imperative for cloud service providers to guarantee the security of information, leaving cloud service consumers (e.g., enterprises) with the task of ne

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Figueira, André. "Secure framework for cloud data sharing based on blockchain." Master's thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/24258.

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Blockchain is a relatively new and disruptive technology that is considered a distributed database working as a ledger, with the ability to facilitate the recording of transactions and tracking of assets. It is a growing list of records called blocks linked together by the hash of the previous block, where each block contains the most recent transactions in the network. Smart contracts are agreements between entities that are written in code, and, when associated with Blockchain they will operate without interference, censorship or malicious intentions. Data Sharing on Clouds is common but req

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Yahya, Farashazillah. "A security framework to protect data in cloud storage." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/415861/.

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According to Cisco Global Cloud Index, cloud storage users will store 1.6 Gigabytes data per month by 2019, compared to 992 megabytes data per month in 2014. With this trend, it has been shown that more and more data will reside in cloud storage and it is expected to grow further. As cloud storage is becoming an option for users for keeping their data online, it comes with security concerns for protecting data from threats. This thesis addresses the need to investigate the security factors that will enable efficient security protection for data in cloud storage and the relationships that exist

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Zhang, Yulong. "TOWARDS AN INCENTIVE COMPATIBLE FRAMEWORK OF SECURE CLOUD COMPUTING." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2739.

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Cloud computing has changed how services are provided and supported through the computing infrastructure. It has the advantages such as flexibility , scalability , compatibility and availability . However, the current architecture design also brings in some troublesome problems, like the balance of cooperation benefits and privacy concerns between the cloud provider and the cloud users, and the balance of cooperation benefits and free-rider concerns between different cloud users. Theses two problems together form the incentive problem in cloud environment. The first conflict lies between the r

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Stanogias, Nikolaos. "Combining analytics framework and Cloud schedulers in order to optimise resource utilisation in a distributed Cloud." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177582.

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Analytics frameworks were initially created to run on bare-metal hardware so they contain scheduling mechanisms to optimise the distribution of the cpu load and data allocation. Generally, the scheduler is part of the analytics framework resource manager. There are different resources managers used in the market and the open-source community that can serve for different analytics frameworks. For example, Spark is initially built with Mesos. Hadoop is now using YARN. Spark is also available as a YARN application. On the other hand, cloud environments (Like OpenStack) contain theirs own mechanis

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Dautov, Rustem. "EXCLAIM framework : a monitoring and analysis framework to support self-governance in Cloud Application Platforms." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/13379/.

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The Platform-as-a-Service segment of Cloud Computing has been steadily growing over the past several years, with more and more software developers opting for cloud platforms as convenient ecosystems for developing, deploying, testing and maintaining their software. Such cloud platforms also play an important role in delivering an easily-accessible Internet of Services. They provide rich support for software development, and, following the principles of Service-Oriented Computing, offer their subscribers a wide selection of pre-existing, reliable and reusable basic services, available through a

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Nigro, Michele. "Progettazione di un cluster sul cloud con il framework HPC." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20316/.

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Nell'ambito del calcolo distribuito, Microsoft HPC Pack offre un importante strumento per la gestione delle risorse computazionali in maniera efficiente orchestrando lo scheduling delle unità di lavoro all’interno dell’infrastruttura. HPC supporta nativamente l’integrazione sul cloud di Microsoft Azure tramite strategie di networking e virtualizzazione ben definite. Dopo una breve presentazione di Prometeia, presso cui il progetto ha avuto luogo, sono presentate nel dettaglio le tecnologie Microsoft utilizzate nel percorso. Segue una presentazione del progetto, che si compone di due passi: il

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Nyoni, Tamsanqa B. "Towards a framework for enhancing user trust in cloud computing." Thesis, University of Fort Hare, 2014. http://hdl.handle.net/10353/d1014674.

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Cloud computing is one of the latest appealing technological trends to emerge in the Information Technology (IT) industry. However, despite the surge in activity and interest, there are significant and persistent concerns about cloud computing, particularly with regard to trusting the platform in terms of confidentiality, integrity and availability of user data stored through these applications. These factors are significant in determining trust in cloud computing and thus provide the foundation for this study. The significant role that trust plays in the use of cloud computing was considered

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Alhammadi, Abdullah. "A knowledge management based cloud computing adoption decision making framework." Thesis, Staffordshire University, 2016. http://eprints.staffs.ac.uk/2380/.

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Cloud computing represents a paradigm shift in the way that IT services are delivered within enterprises. There are numerous challenges for enterprises planning to migrate to cloud computing environment as cloud computing impacts multiple different aspects of an organisation and cloud computing adoption issues vary between organisations. A literature review identified that a number of models and frameworks have been developed to support cloud adoption. However, existing models and frameworks have been devised for technologically developed environments and there has been very little examination

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Metwally, Khaled. "A Resource Management Framework for IaaS in Cloud Computing Environment." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34951.

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Cloud computing Infrastructure-as-a-Service (IaaS) has gained momentum in the cloud computing research field due to its ability to provide efficient infrastructures. Cloud Service Providers (CSPs) are striving to offer Quality of Service (QoS)-guaranteed IaaS services while also improving their resource utilization and maximizing profit. In addition, CSPs are challenged by the need to manipulate diverse and heterogeneous resources, realizing multiple objectives for both customers and CSPs, and handling scalability issues. These challenges are the motivations behind this work which aims at deve

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Flanagan, Keith Stanley. "A grid and cloud-based framework for high throughput bioinformatics." Thesis, University of Newcastle Upon Tyne, 2010. http://hdl.handle.net/10443/1410.

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Recent advances in genome sequencing technologies have unleashed a flood of new data. As a result, the computational analysis of bioinformatics data sets has been rapidly moving from a labbased desktop computer environment to exhaustive analyses performed by large dedicated computing resources. Traditionally, large computational problems have been performed on dedicated clusters of high performance machines that are typically local to, and owned by, a particular institution. The current trend in Grid computing has seen institutions pooling their computational resources in order to offload exce

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Watzl, Johannes. "A framework for exchange-based trading of cloud computing commodities." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-168702.

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Cloud computing is a paradigm for using IT services with characteristics such as flexible and scalable service usage, on-demand availability, and pay-as-you-go billing. Respective services are called cloud services and their nature usually motivates a differentiation in three layers: Infrastructure as a Service (IaaS) for cloud services offering functionality of hardware resources in a virtualised way, Platform as a Service (PaaS) for services acting as execution platforms, and Software as a Service (SaaS) representing applications provided in a cloud computing way. Any of these services is o

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Gopal, Vineet. "PhysioMiner : a scalable cloud based framework for physiological waveform mining." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91815.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>Thesis: S.B., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-70).<br>This work presents PhysioMiner, a large scale machine learning and analytics framework for physiological waveform mining. It is a scalable and flexible solution for researchers and practitioners to build predictive models from physiological time series data. I

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Sajjad, Ali. "A secure and scalable communication framework for inter-cloud services." Thesis, City University London, 2015. http://openaccess.city.ac.uk/14415/.

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A lot of contemporary cloud computing platforms offer Infrastructure-as-a-Service provisioning model, which offers to deliver basic virtualized computing resources like storage, hardware, and networking as on-demand and dynamic services. However, a single cloud service provider does not have limitless resources to offer to its users, and increasingly users are demanding the features of extensibility and inter-operability with other cloud service providers. This has increased the complexity of the cloud ecosystem and resulted in the emergence of the concept of an Inter-Cloud environment where a

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Jayapandian, Catherine Praveena. "Cloudwave: A Cloud Computing Framework for Multimodal Electrophysiological Big Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405516626.

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Zia-ur-Rehman. "A framework for QoS driven user-side cloud service management." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/742.

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This thesis presents a comprehensive framework that assists the cloud service user in making cloud service management decisions, such as service selection and migration. The proposed framework utilizes the QoS history of the available services for QoS forecasting and multi-criteria decision making. It then integrates all the inherent necessary processes, such as QoS monitoring, forecasting, service comparison and ranking to recommend the best and optimal decision to the user.

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GAUDENZI, FILIPPO. "A FRAMEWORK FOR CLOUD ASSURANCE AND TRANSPARENCY BASED ON CONTINUOUS EVIDENCE COLLECTION." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/615644.

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The cloud computing paradigm is changing the design, development, deployment, and provisioning of services and corresponding IT infrastructures. Nowadays, users and companies incrementally rely on on-demand cloud resources to access and deliver services, while IT infrastructures are continuously evolving to address cloud needs and support cloud service delivery. This scenario points to a multi-tenant environment where services are built with strong security and scalability requirements, and cost, performance, security and privacy are key factors enabling cloud adoption. New business opportun

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Maeser, Robert K. III. "A Model-Based Framework for Analyzing Cloud Service Provider Trustworthiness and Predicting Cloud Service Level Agreement Performance." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10785821.

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<p> Analytics firm Cyence estimated Amazon’s four-hour cloud computing outage on February 28, 2017 “cost S&P 500 companies at least $150 million” (Condliffe 2017) and traffic monitoring firm Apica claimed “54 of the top 100 online retailers saw site performance slump by at least 20 percent” (Condliffe 2017). 2015 data center outages cost Fortune 1000 companies between $1.25 and $2.5 billion (Ponemon 2017). Despite potential risks, the cloud computing industry continues to grow. For example, Internet of Things, which is projected to grow 266% between 2013 and 2

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Skolmen, Dayne Edward. "Protection of personal information in the South African cloud computing environment: a framework for cloud computing adoption." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/12747.

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Cloud Computing has advanced to the point where it may be considered an attractive proposition for an increasing number of South African organisations, yet the adoption of Cloud Computing in South Africa remains relatively low. Many organisations have been hesitant to adopt Cloud solutions owing to a variety of inhibiting factors and concerns that have created mistrust in Cloud Computing. One of the top concerns identified is security within the Cloud Computing environment. The approaching commencement of new data protection legislation in South Africa, known as the Protection of Personal Info

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Balasubramanian, Venkatraman. "An SDN Assisted Framework for Mobile Ad-hoc Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35935.

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Over a period of time, it has been studied that a mobile “edge-cloud” formed by hand-held devices could be a productive resource entity for providing a service in the mobile cloud landscape. The ease of access to a pool of devices is much more arbitrary and based purely on the needs of the user. This pool can act as a provider of an infrastructure for various services that can be processed with volunteer node participation, where the node in the vicinity is itself a service provider. This representation of cloud formation to engender a constellation of devices in turn providing a service is th

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Zhu, Jiedan. "An Autonomic Framework Supporting Task Consolidation and Migration in the Cloud Environment." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1310758418.

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Huang, Liren [Verfasser]. "Cloud-based Bioinformatics Framework for Next-Generation Sequencing Data / Liren Huang." Bielefeld : Universitätsbibliothek Bielefeld, 2019. http://d-nb.info/1196644020/34.

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Hai, Socheat Virakraingsei. "Automatic and scalable cloud framework for parametric studies using scientific applications." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-307149.

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Many scientific applications are computationally expensive and often require a large pool of resources for large scale experiments within a reasonable time frame. With Cloud computing offers a new model of consuming computing infrastructures for their flexible application deployment. At the same time, microservice architecture has also gained momentum in the industries for a number of reasons including minimal overhead, simplicity, flexibility, scalability and resilience. The combination of the two technologies has the potential to bring large benefits for scientists and researchers. The goal

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Sehgal, Rakesh. "Service-Oriented Architecture based Cloud Computing Framework For Renewable Energy Forecasting." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25867.

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Forecasting has its application in various domains as the decision-makers are provided with a more predictable and reliable estimate of events that are yet to occur. Typically, a user would invest in licensed software or subscribe to a monthly or yearly plan in order to make such forecasts. The framework presented here differs from conventional software in forecasting, as it allows any interested party to use the proposed services on a pay-per-use basis so that they can avoid investing heavily in the required infrastructure. The Framework-as-a-Service (FaaS) presented here uses Windows Communi

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Mahmud, S. "Cloud enabled data analytics and visualization framework for health-shock prediction." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/deba667c-5142-4330-9fd0-c86db4a8c088/1.

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Health-shock can be defined as a health event that causes severe hardship to the household because of the financial burden for healthcare payments and the income loss due to inability to work. It is one of the most prevalent shocks faced by the people of underdeveloped and developing countries. In Pakistan especially, policy makers and healthcare sector face an uphill battle in dealing with health-shock due to the lack of a publicly available dataset and an effective data analytics approach. In order to address this problem, this thesis presents a data analytics and visualization framework for

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