• DocumentCode
    1950076
  • Title

    Remote Job Management in the Möbius Modeling Framework

  • Author

    Keefe, Ken ; Mitchell, Quincy ; Rozier, Eric ; Sanders, William H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    209
  • Lastpage
    210
  • Abstract
    Large and complex models can often benefit from parallel execution on multiple machines. In the Mobius modeling environment, this is especially true of models for which the user wants to examine several independent configurations or parameterizations. A remote job server with the capability to securely forward jobs to remote workstations or securely submit jobs via a standard batch submission system, manage these remote jobs, and collect results from the remote processes has been implemented in the tool. With the remote job server, Mobius users can painlessly parallelize the execution of their models across many platforms and network topologies. This paper describes the remote job server and summarizes other recent extensions to the Mobius tool.
  • Keywords
    discrete event systems; software tools; systems analysis; Mobius modeling framework; remote job management; remote workstations; standard batch submission system; Computational modeling; Computer networks; Computer science; Conference management; Discrete event systems; Engineering management; Network servers; Network topology; Performance analysis; Workstations; Simulation; compute clusters; discrete-event systems; modeling; parallel simulation execution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quantitative Evaluation of Systems, 2009. QEST '09. Sixth International Conference on the
  • Conference_Location
    Budapest
  • Print_ISBN
    978-0-7695-3808-2
  • Type

    conf

  • DOI
    10.1109/QEST.2009.50
  • Filename
    5290837