%0 Journal Article
%T Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers
%A SaikishorJangiti
%A SubramaniyaswamyV
%A VijayakumarV
%J EDUL
%D 2020
%R 10.4108/eai.13-7-2018.162689
%X 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
%K VM Placement
%K Best Fit Decreasing
%K Hybrid Heuristics
%U https://eudl.eu/doi/10.4108/eai.13-7-2018.162689