DEVStone指标:DEVS模拟引擎的性能分析

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Modeling and Computer Simulation Pub Date : 2022-07-25 DOI:https://dl.acm.org/doi/10.1145/3543849
Román Cárdenas, Kevin Henares, Patricia Arroba, José L. Risco-Martín, Gabriel A. Wainer
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引用次数: 0

摘要

DEVStone基准允许我们评估基于离散事件系统(DEVS)形式的离散事件模拟器的性能。它提供具有不同特征的模型集,从而能够分析仿真引擎的特定问题。然而,这种异质性阻碍了研究结果之间的比较,因为每项研究工作获得的结果取决于所选择的DEVStone模型子集。我们在DEVStone综合基准的基础上定义了DEVStone指标,并提供了一种为基于DEVStone的模拟器指定客观评级的机制。这个指标对应于模拟器在1分钟内可以执行12个DEVStone模型的平均次数。所选模型的多样性确保我们测量DEVStone提供的不同特性。建议的度量允许我们比较各种模拟器,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DEVStone的模拟器。
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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 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.

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来源期刊
ACM Transactions on Modeling and Computer Simulation
ACM Transactions on Modeling and Computer Simulation 工程技术-计算机:跨学科应用
CiteScore
2.50
自引率
22.20%
发文量
29
审稿时长
>12 weeks
期刊介绍: The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods. The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.
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