Experimental Comparison of Open Source Discrete-Event Simulation Frameworks

Oskar Skak Kristiansen, Ulrik Sandberg, Casper Hansen, Morten Skovgaard Jensen, Jonas Friederich*, Sanja Lazarova-Molnar

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Abstrakt

Simulation is a growing and very relevant field today. With many application domains and increasing computational power, simulations are solving an increasing number of real-world problems in a safe and efficient manner. The aim of this study is to make an experimental comparison among popular open-source discrete-event simulation frameworks, selected through a thorough survey. The experimental comparison considers numerous parameters, the most important of which were studied via an operational experiment of performance, as well as a survey of surface level characteristics and usability. We initially surveyed 50 frameworks for high-level parameters relating to corresponding implementations, filtered by the generality of domain, license, popularity, etc. As a result, we shortlisted five frameworks, which we then performance-tested in an operational experiment. We discovered significant performance differences under the given loads. We also completed a usability survey to provide a holistic impression of the frameworks, further identifying key differences.

OriginalsprogEngelsk
TitelSimulation Tools and Techniques - 13th EAI International Conference, SIMUtools 2021, Proceedings
RedaktørerDingde Jiang, Houbing Song
ForlagSpringer Science+Business Media
Publikationsdato2022
Sider315-330
ISBN (Trykt)9783030971236
DOI
StatusUdgivet - 2022
Begivenhed13th EAI International Conference on Simulation Tools and Techniques, SIMUtools 2021 - Virtual, Online
Varighed: 5. nov. 20216. nov. 2021

Konference

Konference13th EAI International Conference on Simulation Tools and Techniques, SIMUtools 2021
ByVirtual, Online
Periode05/11/202106/11/2021
NavnLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Vol/bind424 LNICST
ISSN1867-8211

Bibliografisk note

Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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