| 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 |