Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/8781
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dc.contributor.authorChaudhrani, Vanita Arjun-
dc.date.accessioned2019-08-22T04:11:04Z-
dc.date.available2019-08-22T04:11:04Z-
dc.date.issued2018-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/8781-
dc.description.abstractIn cloud computing, there are large number of resources which are used like data centres, servers, CPUs, VMs, personal mobile devices and many more. It is difficult to manage these resources, for that resource management is used, so that proper use of resources is made. In this resource management, energy is one of the key parameters which is to be resolved. Resources in the cloud are using a large amount of energy and sometimes energy is wasted so these resources are needed to make energy efficient. Energy efficient resource management techniques help in cost reduction and improving the life of data centres. This paper discusses energy management techniques used in cloud and proposes particle swarm optimization (PSO) based VM allocation model to reduce energy consumption on hosts.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries16MCEN04;-
dc.subjectComputer 2016en_US
dc.subjectProject Report 2016en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject16MCENen_US
dc.subject16MCEN04en_US
dc.subjectNTen_US
dc.subjectNT 2016en_US
dc.subjectCE (NT)en_US
dc.titleEnergy Aware Computing Resource Allocation using PSO in Clouden_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (NT)

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