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Towards Energy Saving in Computational Clouds: Taxonomy, Review, and Open Challenges

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dc.contributor.author Shaheen, Qaisar
dc.contributor.author Shiraz, Muhammad
dc.contributor.author Khan, Suleman
dc.contributor.author Majeed, Rabia
dc.date.accessioned 2019-11-11T07:22:42Z
dc.date.available 2019-11-11T07:22:42Z
dc.date.issued 2018-06-07
dc.identifier.issn 2169-3536
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/1085
dc.description.abstract Cloud Computing involves utilization of centralized computing resources and services, including remote servers, storage, programs, and usages which minimize the power utilization of the client assets. Therefore, it is extremely important to accomplish energy efficiency of cloud computing. Virtualization is used to set up a foundation for the execution part as the heart of energy effective cloud. Virtualization incorporates certain advancements, such as consolidation and resource utilization. A number of techniques, such as DVFS virtualization as well as teleportation can be used by empowering the tasks of multiple virtual types of equipment to a single server to increase the vitality proficiency of datacenters. The objective of this review is to analyze contemporary for energy as well as performance management, vitality for effective data centers and resource distributions. Our review will address the latest issues researchers have addressed in energy as well as management of performance in recent years. We will take a closer look at these existing techniques based on tools, OS, virtualization, and datacenter stages taxonomy. Finally, a performance comparison of existing techniques is presented that can assist in identifying gaps for future research in this area. en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject COMSATS en_US
dc.subject virtualisation en_US
dc.subject resource allocation en_US
dc.subject computer centres en_US
dc.subject cloud computing en_US
dc.subject Controlled Indexing en_US
dc.subject energy conservation en_US
dc.subject power aware computing en_US
dc.subject operating systems (computers) en_US
dc.title Towards Energy Saving in Computational Clouds: Taxonomy, Review, and Open Challenges en_US
dc.type Article en_US


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