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01.03.2016

Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing

verfasst von: Hongjian Li, Guofeng Zhu, Chengyuan Cui, Hong Tang, Yusheng Dou, Chen He

Erschienen in: Computing | Ausgabe 3/2016

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Abstract

In this paper, we developed a dynamic energy-efficient virtual machine (VM) migration and consolidation algorithm based on a multi-resource energy-efficient model. It can minimize energy consumption with Quality of Service guarantee. In our algorithm, we designed a method of double threshold with multi-resource utilization to trigger the migration of VMs. The Modified Particle Swarm Optimization method is introduced into the consolidation of VMs to avoid falling into local optima which is a common defect in traditional heuristic algorithms. Comparing with the popular traditional heuristic algorithm Modified Best Fit Decrease, our algorithm reduced the number of active physical nodes and the amount of VMs migrations. It shows better energy efficiency in data center for cloud computing.

Vorheriger Artikel Energy-aware assignment and scheduling for hybrid main memory in embedded systems

Nächster Artikel A study of the performance of novel storage-centric repairable codes

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Titel: Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing
verfasst von: Hongjian Li
Guofeng Zhu
Chengyuan Cui
Hong Tang
Yusheng Dou
Chen He
Publikationsdatum: 01.03.2016
Verlag: Springer Vienna
Erschienen in: Computing / Ausgabe 3/2016
Print ISSN: 0010-485X
Elektronische ISSN: 1436-5057
DOI: https://doi.org/10.1007/s00607-015-0467-4

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