Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/8654| Title: | Hybrid Best-Fit Heuristic for Energy Efficient Virtual Machine Placement in Cloud Data Centers |
| Authors: | Jangiti, Saikishor |
| Keywords: | Computer Science VM placement Best Fit Decreasing Hybrid Heuristics |
| Issue Date: | 2020 |
| Publisher: | EUDL |
| 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. |
| URI: | https://eudl.eu/doi/10.4108/eai.13-7-2018.162689 http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8654 |
| Appears in Collections: | Department of Computer Science and Information Systems |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.