Experimental analysis of logical process simulation algorithms in JAMES II

  • Authors:

  • Bing Wang;Yiping Yao;Jan Himmelspach;Roland Ewald;Adelinde M. Uhrmacher

  • Affiliations:

  • National University of Defense Technology, Changsha, P. R. China;National University of Defense Technology, Changsha, P. R. China;Institute of Computer Science, Albert-Einstein-Str., Rostock, Germany;Institute of Computer Science, Albert-Einstein-Str., Rostock, Germany;Institute of Computer Science, Albert-Einstein-Str., Rostock, Germany

  • Venue:
  • Winter Simulation Conference
  • Year:
  • 2009

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Abstract

The notion of logical processes is a widely used modeling paradigm in parallel and distributed discrete-event simulation. Yet, the comparison among different simulation algorithms for LP models still remains difficult. Most simulation systems only provide a small subset of available algorithms, which are usually selected and tuned towards specific applications. Furthermore, many modeling and simulation frameworks blur the boundary between model logic and simulation algorithm, which hampers the extensibility and the comparability. Based on the general-purpose modeling and simulation framework JAMES II, which has already been used for experiments with algorithms several times, we present an environment for the experimental analysis of simulation algorithms for logical processes. It separates model from simulator concepts, is extensible (in regards to the benchmark models, the algorithms used, etc.), and facilitates a fair comparison of algorithms.