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

    Bessis, N. and Sotiriadis, Stelios and Xhafa, F. and Asimakopoulou, E. (2013) Cloud scheduling optimization: a reactive model to enable dynamic deployment of virtual machines instantiations. Informatica 24 (3), pp. 357-380. ISSN 0868-4952.

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    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.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Cloud Computing, Virtual Machine Dynamic Deployment, Virtual Machine Migration, Virtual Machine Scheduling
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 17 Apr 2018 12:47
    Last Modified: 10 Jun 2021 20:21
    URI: https://eprints.bbk.ac.uk/id/eprint/21795

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