DEVStone: a Benchmarking Technique for Studying Performance of DEVS Modeling and Simulation Environments

  • Authors:

  • Ezequiel Glinsky;Gabriel Wainer

  • Affiliations:

  • Dept. of Systems and Computer Engineering Carleton University 4456 Mackenzie Building 1125 Colonel By Drive Ottawa, ON. K1S 5B6. Canada.;Dept. of Systems and Computer Engineering Carleton University 4456 Mackenzie Building 1125 Colonel By Drive Ottawa, ON. K1S 5B6. Canada.

  • Venue:
  • DS-RT '05 Proceedings of the 9th IEEE International Symposium on Distributed Simulation and Real-Time Applications
  • Year:
  • 2005

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Abstract

DEVS is a sound, formal modeling and simulation (M&S) framework that supports hierarchical, modular model composition. DEVS-based M&S environments have been used successfully to understand, analyze, and develop a wide variety of systems. As the systems under study become larger and more complex, the performance of the simulator becomes critical. Nevertheless, evaluating the performance of such simulators is a complex process that requires the execution of large numbers of models with different characteristics. We present DEVStone, a synthetic benchmark devoted to automate the evaluation of DEVS-based simulation approaches, which generates models similar to those existing in the real world. DEVStone facilitates performance analysis for successive versions (e.g., upgrades or fixes) of the same simulation engine, and provides a common metric to compare different M&S environments.