2005Unpublished venueRequires access

DEVStone: a benchmarking technique for studying performance of DEVS modeling and simulation environments

Ezequiel Glinsky, Gabriel Wainer

Open publisher page 35 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 35 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: DEVS, Computer science, Benchmarking, Modular design, Benchmark (surveying), Modeling and simulation, Metric (unit), Discrete event simulation

Related papers

Back to paper searchBrowse research topicsOriginal source
DEVStone: a benchmarking technique for studying performance of DEVS modeling and simulation environments — Research Paper | ScholarLens