The DEVStone Metric: Performance Analysis of DEVS Simulation Engines

The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the DEVS formalism. It provides model sets with different characteristics, enabling the analysis of specific issues of simulation engines. However, this heterogeneity hinders the comparison of the results among studies, as the results obtained on each research work depend on the chosen subset of DEVStone models. We define the DEVStone metric based on the DEVStone synthetic benchmark and provide a mechanism for specifying objective ratings for DEVS-based simulators. This metric corresponds to the average number of times that a simulator can execute a selection of 12 DEVStone models in one minute. The variety of the chosen models ensures we measure different particularities provided by DEVStone. The proposed metric allows us to compare various simulators and to assess the impact of new features on their performance. We use the DEVStone metric to compare some popular DEVS-based simulators

Decentralized Approach for Efficient Simulation of Devs Models

Part 1: Knowledge-Based Performance ImprovementInternational audienceThis paper proposes to improve simulation efficiency of DEVS mod- els based on the classical Discrete Event system Specification (DEVS) formalism by reducing the number of messages exchanged between simulators. We propose three changes: hierarchical modeling tree flattening based on closure under cou- pling, direct coupling and decentralized scheduling. The main idea is to relieve coordinators by giving to simulators more tasks to process