UCSY's Research Repository

Energy-Saving Resource Allocation in Cloud Data Centers

Show simple item record

dc.contributor.author Than, Moh Moh
dc.contributor.author Thein, Thandar
dc.date.accessioned 2021-01-31T10:37:03Z
dc.date.available 2021-01-31T10:37:03Z
dc.date.issued 2020-02-28
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/2555
dc.description.abstract As the demands of cloud computing intensify, more facilities running power-intensive servers are necessary for cloud data centers. Such data center servers consume a large amount of energy, resulting in high operating costs. Therefore, high energy consumption has become a growing problem for cloud data centers. This paper proposes two energy-saving resource allocation algorithms that take into account several energy efficiency factors: resource allocation policies, power management techniques, and power models for better energy management in cloud data centers. These two algorithms are implemented on CloudSim toolkit and evaluated with real-world workload data. By the experimental evaluation of these algorithms for competitive analysis of energy consumption, we found that this work contributes to save the energy consumption in cloud data centers. en_US
dc.language.iso en en_US
dc.publisher Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020) en_US
dc.subject Cloud data centers en_US
dc.subject CloudSim en_US
dc.subject Energy consumption en_US
dc.subject Power management technique en_US
dc.subject Resource allocation en_US
dc.title Energy-Saving Resource Allocation in Cloud Data Centers en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


My Account