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10.1109/CloudCom.2010.84guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Exploring the Performance Fluctuations of HPC Workloads on Clouds

Published: 30 November 2010 Publication History

Abstract

Clouds enable novel execution modes often supported by advanced capabilities such as autonomic schedulers. These capabilities are predicated upon an accurate estimation and calculation of runtimes on a given infrastructure. Using a well understood high-performance computing workload, we find strong fluctuations from the mean performance on EC2 and Eucalyptus-based cloud systems. Our analysis eliminates variations in IO and computational times as possible causes, we find that variations in communication times account for the bulk of the experiment-to-experiment fluctuations of the performance.

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  • (2020)High-density Multi-tenant Bare-metal CloudProceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3373376.3378507(483-495)Online publication date: 9-Mar-2020
  • (2019)SeerProceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3297858.3304004(19-33)Online publication date: 4-Apr-2019
  • (2017)Topology-aware GPU scheduling for learning workloads in cloud environmentsProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/3126908.3126933(1-12)Online publication date: 12-Nov-2017
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  1. Exploring the Performance Fluctuations of HPC Workloads on Clouds

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    Information & Contributors

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    Published In

    cover image Guide Proceedings
    CLOUDCOM '10: Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
    November 2010
    801 pages
    ISBN:9780769543024

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 30 November 2010

    Author Tags

    1. Cloud Computing
    2. Concurrent Programming
    3. Distributed Programming
    4. Parallel Programming

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    • (2020)High-density Multi-tenant Bare-metal CloudProceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3373376.3378507(483-495)Online publication date: 9-Mar-2020
    • (2019)SeerProceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3297858.3304004(19-33)Online publication date: 4-Apr-2019
    • (2017)Topology-aware GPU scheduling for learning workloads in cloud environmentsProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/3126908.3126933(1-12)Online publication date: 12-Nov-2017
    • (2017)BoltACM SIGARCH Computer Architecture News10.1145/3093337.303770345:1(599-613)Online publication date: 4-Apr-2017
    • (2017)BoltACM SIGPLAN Notices10.1145/3093336.303770352:4(599-613)Online publication date: 4-Apr-2017
    • (2017)Using Burstable Instances in the Public CloudProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/30844481:1(1-28)Online publication date: 13-Jun-2017
    • (2017)BoltProceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3037697.3037703(599-613)Online publication date: 4-Apr-2017
    • (2015)Towards a unified customer aware figure of merit for CSP selectionJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-015-0049-14:1(1-23)Online publication date: 1-Dec-2015
    • (2015)Multi-objective job placement in clustersProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/2807591.2807636(1-12)Online publication date: 15-Nov-2015
    • (2015)Integrating software defined networks within a cloud federationProceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2015.11(179-188)Online publication date: 4-May-2015
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