Remote job management in the Möbius modeling framework

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large and complex models can often benefit from parallel execution on multiple machines. In the Möbius 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, Möbius 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 M öbius tool.

Original languageEnglish
Title of host publicationQEST - 6th International Conference on the Quantitative Evaluation of Systems
Pages209-210
Number of pages2
DOIs
StatePublished - Dec 1 2009
EventQEST - 6th International Conference on the Quantitative Evaluation of Systems - Budapest, Hungary
Duration: Sep 13 2009Sep 16 2009

Other

OtherQEST - 6th International Conference on the Quantitative Evaluation of Systems
CountryHungary
CityBudapest
Period9/13/099/16/09

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Keefe, K., Mitchell, Q., Rozier, E., & Sanders, W. H. (2009). Remote job management in the Möbius modeling framework. In QEST - 6th International Conference on the Quantitative Evaluation of Systems (pp. 209-210). [5290837] https://doi.org/10.1109/QEST.2009.50