A multi-start local search heuristic for an energy efficient VMs assignment on top of the OpenNebula cloud manager
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- 作者：Yacine Kessaci ; yacine.kessaci@inria.fr" class="auth_mail ; yacine.kessaci@lifl.fr" class="auth_mailAuthor Vitae ; Nouredine Melab nouredine.melab@lifl.fr" class="auth_mailAuthor Vitae ; El-Ghazali Talbi talbi@lifl.fr" class="auth_mailAuthor Vitae
- 关键词：Energy-aware scheduling ; Cloud computing ; Resource allocation ; OpenNebula ; Cloud manager ; Multi-start local search
- 刊名：Future Generation Computer Systems
- 出版年：July 2014
- 年：2014
- 卷：36
- 期：Complete
- 页码：237-256
- 全文大小：1554 K
文摘
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We develop an energy reduction scheduler for cloud managers (OpenNebula).
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We propose a new energy and VMs performance models for the VM scheduling on cloud.
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We propose a Pareto scheduler addressing both energy and VMs performance.
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We prove the superiority of our schedulers over three other scheduling approaches.
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We reduce the energy of up to 200 physical machines of the Grid5000 infrastructure.