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MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing.
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- Author(s): Mandal, Riman; Mondal, Manash Kumar; Banerjee, Sourav; Srivastava, Gautam; Alnumay, Waleed; Ghosh, Uttam; Biswas, Utpal
- Source:
Cluster Computing; Feb2023, Vol. 26 Issue 1, p651-665, 15p- Subject Terms:
- Source:
- Additional Information
- Abstract: Cloud computing provides a service-oriented computing model to cloud users on a metered basis. Most of the cloud data centers are running on fossil fuels. It elevates the carbon emissions to the environment. Green cloud computing is the fusion of greenness in cloud computing to address the issues related to energy consumption and environmental sustainability. Virtual machine (VM) consolidation and live migration can provide standard solutions to energy consumption. The selection of VM for migration is a vital task. It should be performed effectively to trade-off between energy consumption and service level agreement violation (SLAV). The research activity in this article focuses on a new VM selection policy that chooses VM with high energy consumption and small size. Real-world workload traces were used to evaluate the performance of the proposed MECpVmS VM selection policy. Using CloudSim simulation, the MECpVmS VM selection policy has been implemented and assessed with existing VM selection policies. The results show an overall improvement in energy efficiency, energy consumption, SLAV. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Cluster Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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