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

Saikishor  Jangiti; Vijayakumar  V; Subramaniyaswamy  V

doi:10.4108/eai.13-7-2018.162689

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

Authors

Saikishor Jangiti SASTRA University
Vijayakumar V Briteyellow Ltd.
Subramaniyaswamy V SASTRA University

DOI:

https://doi.org/10.4108/eai.13-7-2018.162689

Keywords:

VM Placement, Best Fit Decreasing, Hybrid Heuristics

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.

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Published

14-01-2020

How to Cite

Jangiti S, V V, V S. Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers. EAI Endorsed Trans Energy Web [Internet]. 2020 Jan. 14 [cited 2024 May 3];7(26):e4. Available from: https://publications.eai.eu/index.php/ew/article/view/895

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Issue

Vol. 7 No. 26 (2020): EAI Endorsed Transactions on Energy Web

Section

Research articles

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.