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Energy Efficient Extended Pool Management Scheme in Cloud Data Centers

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dc.contributor.author Chowdhury, Adnan Asif
dc.contributor.author Hoque, Md. Shahidul
dc.contributor.author Shawkat, Nabil
dc.date.accessioned 2017-10-02T10:02:30Z
dc.date.available 2017-10-02T10:02:30Z
dc.date.issued 4/17/2017
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2322
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract Cloud computing is a major shift from the conventional way of businesses considering IT assets. Cloud computing empowers organizations to expand a process asset, such as virtual machine, storage or an application, as a utility. As a result, the demand for energy is increasing day by day. In this report, we focus on improving an analytical performance model for improving the resource allocation process to reduce power consumption. In particular, our report proposes a resource allocation algorithm, namely Triple-E, for energy-efficient management of clouds. We are using the CloudSim toolkit to validate our approach by leading a set of accurate performance evaluation study. The results show that Triple-E has enormous potential as it offers critical execution gains as regards to response time under dynamic workload situations en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;00104 CSE
dc.subject Cloud Data Centers, Energy Efficient Extended Pool Managemen en_US
dc.title Energy Efficient Extended Pool Management Scheme in Cloud Data Centers en_US
dc.type Thesis en_US


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