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Guarantee-aware cost effective virtual machine placement algorithm for the cloud

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Published:16 May 2016Publication History

ABSTRACT

A guarantee-aware cost effective virtual machine placement algorithm for the cloud is proposed in this paper. The algorithm is first formulated as a nonlinear programming problem of which the objective is to minimize the number of physical machines used. Specifically, apart from constraints for computing resources, we add an additional one for each network component to ensure the sum of offered guarantees for each link is not greater than the link capacity. We then devise a heuristic algorithm for the nonlinear programming problem. Results show that our approach can reduce the number of physical machines used by 32.5% compared to the most recent one.

References

  1. H. Ballani, P. Costa, T. Karagiannis, and A. Rowstron. Towards predictable datacenter networks. In SIGCOMM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Greenberg, J. Hamilton, D. A. Maltz, and P. Patel. The cost of a cloud: Research problems in data center networks. ACM Computer Communication Review, 39(1):68--73, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Zhang, Z. He, H. Huang, X. Wang, C. Gu, and L. Zhang. Sla aware cost efficient virtual machines placement in cloud computing. In IPCCC, 2014.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    CF '16: Proceedings of the ACM International Conference on Computing Frontiers
    May 2016
    487 pages
    ISBN:9781450341288
    DOI:10.1145/2903150
    • General Chairs:
    • Gianluca Palermo,
    • John Feo,
    • Program Chairs:
    • Antonino Tumeo,
    • Hubertus Franke

    Copyright © 2016 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 16 May 2016

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    • poster

    Acceptance Rates

    CF '16 Paper Acceptance Rate30of94submissions,32%Overall Acceptance Rate240of680submissions,35%

    Upcoming Conference

    CF '24

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