Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers

Jangiti, Saikishor and V, Vijayakumar and V, Subramaniyaswamy (2020) Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers. EAI Endorsed Transactions on Energy Web, 7 (27): e4. ISSN 2032-944X

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Abstract

Cloud Service Providers (CSPs) offers Information Technology services like infrastructure and software to users on a pay as you go basis. Energy consumption is one of the significant challenges faced by Cloud Service Providers (CSP). Virtual Machine (VM) placement is an energy-efficient practice performed in the cloud datacenters. Best-Fit Decreasing (BFD) is a VM placement and is known to give a near-optimal solution in a reasonable time by sorting the VMs in decreasing order. We propose a Hybrid Best-Fit (HBF) Heuristic for VM placements. Experimental results show that HBF is consuming 2.516% and 3.392% less energy compared to Best-Fit and BFD heuristics.

Item Type: Article
Uncontrolled Keywords: VM Placement, Best Fit Decreasing, Hybrid Heuristics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 17 Sep 2020 10:49
Last Modified: 17 Sep 2020 10:49
URI: https://eprints.eudl.eu/id/eprint/435

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