Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers
In: EAI Endorsed Transactions on Energy Web, Jg. 7 (2020-03-01), Heft 26
Online
academicJournal
Zugriff:
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) isa 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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Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers
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Autor/in / Beteiligte Person: | Jangiti, Saikishor ; Vijayakumar, V ; Subramaniyaswamy, V |
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Zeitschrift: | EAI Endorsed Transactions on Energy Web, Jg. 7 (2020-03-01), Heft 26 |
Veröffentlichung: | European Alliance for Innovation (EAI), 2020 |
Medientyp: | academicJournal |
ISSN: | 2032-944X (print) |
DOI: | 10.4108/eai.13-7-2018.162689 |
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