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Dynamic VM migration: assessing its risks & rewards using a benchmark

Published: 30 September 2011 Publication History

Abstract

Dynamic migration of virtual machines (VMs) across physical servers has the potential to increase the utilization of the servers and hence drive down the data center costs. However, IT practitioners are leery of using this capability for increasing resource utilization due to concerns about the impact of such migrations on the performance of the applications, particularly the response times seen by the users of the applications. The relative newness to the industry of many of the tools used to automate VM migrations for resource utilization; data from researchers; as well as the recommendations from some analysts justify such caution and warrant quantifying the risks as well as potential rewards before deciding how aggressively this capability should be adopted. This paper will discuss the requirements for a benchmark to be used for such quantification. We will also discuss adaptations to SPECvirt_sc2010, originally developed as a single server benchmark, to meet these requirements. We will also present risk-reward quantifications obtained using this benchmark for a simple case and the broader use of the benchmark for other cases.

References

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  • (2023)ABLA: Application-Based Load-Balanced Approach for Adaptive Mapping of Datacenter NetworksElectronics10.3390/electronics1217368912:17(3689)Online publication date: 31-Aug-2023
  • (2020)Enhancing live virtual machine migration process via optimized resource allocation in next generation mobile edge network: A hybrid evolutionary approachInternational Journal of Communication Systems10.1002/dac.444233:12Online publication date: 4-May-2020
  • (2015)SPA: Smart Placement Approach for Cloud-service Datacenter NetworksProcedia Computer Science10.1016/j.procs.2015.07.21756(341-348)Online publication date: 2015
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    cover image ACM Conferences
    ICPE '11: Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
    March 2011
    470 pages
    ISBN:9781450305198
    DOI:10.1145/1958746

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 September 2011

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    View all
    • (2023)ABLA: Application-Based Load-Balanced Approach for Adaptive Mapping of Datacenter NetworksElectronics10.3390/electronics1217368912:17(3689)Online publication date: 31-Aug-2023
    • (2020)Enhancing live virtual machine migration process via optimized resource allocation in next generation mobile edge network: A hybrid evolutionary approachInternational Journal of Communication Systems10.1002/dac.444233:12Online publication date: 4-May-2020
    • (2015)SPA: Smart Placement Approach for Cloud-service Datacenter NetworksProcedia Computer Science10.1016/j.procs.2015.07.21756(341-348)Online publication date: 2015
    • (2014)Mobiles on cloud nine: Efficient task migration policies for cloud computing systems2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)10.1109/CloudNet.2014.6968993(204-210)Online publication date: Oct-2014
    • (2012)How a consumer can measure elasticity for cloud platformsProceedings of the 3rd ACM/SPEC International Conference on Performance Engineering10.1145/2188286.2188301(85-96)Online publication date: 22-Apr-2012

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