Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/2256
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKhachariya, Haresh-
dc.date.accessioned2025-01-02T06:43:03Z-
dc.date.available2025-01-02T06:43:03Z-
dc.date.issued2020-
dc.identifier.issn2320-0693-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/2256-
dc.description.abstractThe 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 been_US
dc.language.isoenen_US
dc.publisherTathapien_US
dc.titleTask placement and Virtual Machine Migration Technique in Cloud Computing Environmenten_US
dc.typeArticleen_US
Appears in Collections:01. Journal Articles

Files in This Item:
File Description SizeFormat 
Task placement and Virtual Machine Migration Technique in Cloud Computing Environment _ Haresh Khachariya - Academia.edu.pdf115.3 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.