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A Multi-start Local Search Scheduler for an Energy-aware Cloud Manager

Abstract : The field of cloud computing uses different management techniques for data center virtualization such as OpenNebula. However, computers composing the cloud infrastructure use a significant and growing portion of energy in the world specifically when dealing with virtualization for high performance computing (HPC). Therefore, energy-aware computing is crucial for large-scale systems that consume considerable amount of energy. In this paper, we present a new work that aims to deal with the energy consumption within a realistic cloud infrastructure using OpenNebula as a software management solution. Our scheduler is based on a multi-start local search heuristic that helps to find the best scheduling by dispatching the arriving of virtual machines (VM) according to the minimum energy consumption.
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Contributor : Yacine Kessaci Connect in order to contact the contributor
Submitted on : Tuesday, November 6, 2012 - 3:34:10 PM
Last modification on : Thursday, January 20, 2022 - 5:27:52 PM
Long-term archiving on: : Thursday, February 7, 2013 - 3:46:37 AM


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  • HAL Id : hal-00749063, version 1


Yacine Kessaci, Melab Nouredine, El-Ghazali Talbi. A Multi-start Local Search Scheduler for an Energy-aware Cloud Manager. META 2012, Oct 2012, Sousse, Tunisia. ⟨hal-00749063⟩



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