• DocumentCode
    2052381
  • Title

    Resource management with stateful support for analytic applications

  • Author

    Fong, Liana L. ; Crawford, Catherine H. ; Shaikh, Hidayatullah

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY
  • fYear
    2006
  • fDate
    25-29 April 2006
  • Abstract
    Analytic applications from various industrial sectors have specific attributes and requirements including relatively long processing time, parallelization, multiple interactive invocations, Web services, and expected quality of service objectives. Current parallel resource management systems for batch-oriented jobs lack the effective support for multiple interactive invocations with consideration in quality of service objectives, while transaction processing systems do not support dynamic creation of parallel application instances. To better serve the analytic applications, a set of additional resource management services, defined as stateful support, introduces the concept of service instance and service instance management. This set of stateful support services can be implemented as extension to existing parallel resource management to serve these analytic applications that rapidly increase in the demand of computing power
  • Keywords
    parallel processing; resource allocation; analytic application; batch-oriented jobs; parallel application; parallel resource management system; quality of service; service instance management; stateful support services; Application software; Cost function; Grid computing; Parallel processing; Portfolios; Power system management; Quality of service; Resource management; Vehicle dynamics; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
  • Conference_Location
    Rhodes Island
  • Print_ISBN
    1-4244-0054-6
  • Type

    conf

  • DOI
    10.1109/IPDPS.2006.1639695
  • Filename
    1639695