Cloud scheduling optimization: A reactive model to enable dynamic deployment of virtual machines instantiations

Nik Bessis, Stelios Sotiriadis*, Fatos Xhafa, Eleana Asimakopoulou

*Corresponding author for this work

Research output: Contribution to journalArticle (journal)peer-review

5 Citations (Scopus)

Abstract

This study proposes a model for supporting the decision making process of the cloud policy for the deployment of virtual machines in cloud environments. We explore two configurations, the static case in which virtual machines are generated according to the cloud orchestration, and the dynamic case in which virtual machines are reactively adapted according to the job submissions, using migration, for optimizing performance time metrics. We integrate both solutions in the same simulator for measuring the performance of various combinations of virtual machines, jobs and hosts in terms of the average execution and total simulation time. We conclude that the dynamic configuration is prosperus as it offers optimized job execution performance.

Original languageEnglish
Pages (from-to)357-380
Number of pages24
JournalInformatica (Netherlands)
Volume24
Issue number3
Publication statusPublished - 2013

Keywords

  • Cloud computing
  • virtual machine dynamic deployment
  • virtual machine migration
  • virtual machine scheduling

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