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  Published Paper Details:

  Paper Title

Optimized Virtual Machine Scheduling in Cloud Environment

  Authors

  Nikul Patel,  Viranch Kadia

  Keywords

Virtual Machine Scheduling

  Abstract


The placement of the Virtual Machines in a Cloud Computing environment affects the application performance, which has been deployed in those virtual machines. The placement of the virtual machines considering their past, current and future requirements will lead to optimal utilization of the resources of the Cloud Service Providers (CSP). It is not just in interest of the users of the cloud services but also the CSP. The placement of the virtual machines on the appropriate hosts by the CSP will help to provide better services to the users. The requirements of the users such as required by law, for, e.g., placement of data within a certain geographic boundary or adhering to SLA(service level agreement) requirement of performance, uptime, etc. can be achieved only with proper selection of hosts. In this study, several metrics such as utilization of the CPU, memory, storage of the hosts and the I/O requirements of the applications have been considered to devise a better VM scheduling policy which can be implemented using one of the several open source hypervisors such as Xen, KVM or Virtual Box. It is also planned to deploy the policies in a real HyperBox based cloud environment.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2312616

  Paper ID - 248330

  Page Number(s) - f524-f530

  Pubished in - Volume 11 | Issue 12 | December 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Nikul Patel,  Viranch Kadia,   "Optimized Virtual Machine Scheduling in Cloud Environment", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.f524-f530, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312616.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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