• DocumentCode
    3015653
  • Title

    Exploiting WSRF and WSRF.NET for Remote Job Execution in Grid Environments

  • Author

    Wasson, Glenn ; Humphrey, Marty

  • Author_Institution
    Dept. of Comput. Sci., Virginia Univ., Charlottesville, VA, USA
  • fYear
    2005
  • fDate
    04-08 April 2005
  • Abstract
    The Web Service Resource Framework (WSRF) was announced in January 2004 as a new way for manipulating "stateful resources" to perform grid computing tasks using Web Services. This paper discusses, to our knowledge, the most complex application built to date utilizing WSRF concepts. We describe a remote job execution system that handles scheduling, data movement, security and inter-job dependencies. The application is built on top of WSRF.NET, the first publicly-available toolkit for constructing WSRF-compliant Web Services. WSRF.NET is an open-source project that implements both the WSRF and WS-Notification family of specifications and runs on the Microsoft .NET platform. Our explicit goal in the effort reported in this paper is not to replace the existing tools such as GRAM/GlobusRun, MDS and Condor/Condor-G but rather to evaluate--via a concrete implementation--the new capabilities provided for such Grid operations via WSRF. We find that, in general, WSRF and WS-Notification facilitate far richer client-side and server-side interactions than previously accomplished in the state of the art in Grid computing.
  • Keywords
    Internet; client-server systems; grid computing; network operating systems; open systems; remote procedure calls; scheduling; Microsoft.NET platform; WSRF.NET; Web service resource framework; client-server systems; data security; grid computing; inter-job dependencies; remote job execution system; scheduling; Computer architecture; Computer science; Concrete; Data security; Grid computing; Open source software; Processor scheduling; Service oriented architecture; Testing; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
  • Print_ISBN
    0-7695-2312-9
  • Type

    conf

  • DOI
    10.1109/IPDPS.2005.212
  • Filename
    1419827