• DocumentCode
    2787037
  • Title

    Integrated Risk Analysis for a Commercial Computing Service

  • Author

    Yeo, Chee Shin ; Buyya, Rajkumar

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Vic.
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Utility computing has been anticipated to be the next generation of computing usage. Users have the freedom to easily switch to any commercial computing service to complete jobs whenever the need arises and simply pay only on usage, without any investment costs. A commercial computing service however has certain objectives or goals that it aims to achieve. In this paper, we identify three essential objectives for a commercial computing service: (i) meet SLA, (ii) maintain reliability, and (iii) earn profit. This leads to the problem of whether a resource management policy implemented in the commercial computing service is able to meet the required objectives or not. So, we also develop two evaluation methods that are simple and intuitive: (i) separate and (ii) integrated risk analysis to analyze the effectiveness of resource management policies in achieving the required objectives. Evaluation results based on five policies successfully demonstrate the applicability of separate and integrated risk analysis to assess policies in terms of the required objectives.
  • Keywords
    resource allocation; risk analysis; utility programs; commercial utility computing service; integrated risk analysis; resource management policy; service level agreement; Computer science; Distributed computing; Grid computing; Investments; Laboratories; Maintenance; Resource management; Risk analysis; Software engineering; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370241
  • Filename
    4227969