DEVStone: a benchmarking technique for studying performance of DEVS modeling and simulation environments
Ezequiel Glinsky, Gabriel Wainer
Abstract
Ezequiel Glinsky, Gabriel Wainer
Abstract
DEVS (Discrete EVents systems Specification) 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.
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DEVS (Discrete EVents systems Specification) 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.
Key concepts: DEVS, Computer science, Benchmarking, Modular design, Benchmark (surveying), Modeling and simulation, Metric (unit), Discrete event simulation