The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the Discrete Event System (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 1 minute. The variety of the chosen models ensures that 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.

DEVStone 基准允许我们基于离散事件系统 (DEVS) 形式评估离散事件模拟器的性能。它提供了具有不同特征的模型集，可以分析仿真引擎的具体问题。然而，这种异质性阻碍了研究结果的比较，因为每项研究工作获得的结果取决于所选的 DEVstone 模型子集。我们基于 DEVStone 综合基准定义了 DEVStone 指标，并提供了一种机制来为基于 DEVS 的模拟器指定客观评级。该指标对应于模拟器在 1 分钟内可以执行 12 个 DEVstone 模型选择的平均次数。所选模型的多样性确保我们测量 DEVstone 提供的不同特性。提出的指标使我们能够比较各种模拟器并评估新功能对其性能的影响。我们使用 DEVstone 指标来比较一些流行的基于 DEVS 的模拟器。