| Autor: |
Saikishor Jangiti, Vijayakumar V, Subramaniyaswamy V |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
EAI Endorsed Transactions on Energy Web, Vol 7, Iss 26 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2032-944X |
| DOI: |
10.4108/eai.13-7-2018.162689 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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