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Task placement and Virtual Machine Migration Technique in Cloud Computing Environment

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dc.contributor.author Khachariya, Haresh
dc.date.accessioned 2025-01-02T06:43:03Z
dc.date.available 2025-01-02T06:43:03Z
dc.date.issued 2020
dc.identifier.issn 2320-0693
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/2256
dc.description.abstract The technology of cloud computing is growing very quickly, thus it's required to manage themethod of resource allocation. Very serious efforts have to put during this research to reduceenergy consumption of information center together with decrease in completion and responsetime of the task. We have proposed two phase approaches in this paper, which include taskscheduling on VM and dynamically managing the VM on host by migration. In phase one, itdistributes workload of multiple network links avoiding underutilization and over utilization ofthe resources. This will be accomplished by allotting the incoming task to a virtual machine(VM) which satisfiesclause; number of tasks currently administering by the VM is lesser amountthan number of tasks currently handled by other VMs. In second phase, it migrates virtualmachine from one host to another host dynamically. If the virtual machine is overloaded duringthis process, the performance is going to be en_US
dc.language.iso en en_US
dc.publisher Tathapi en_US
dc.title Task placement and Virtual Machine Migration Technique in Cloud Computing Environment en_US
dc.type Article en_US


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