Experimental Comparison of Open Source Discrete-Event Simulation Frameworks

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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.

Original languageEnglish
Title of host publicationSimulation Tools and Techniques : 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings
EditorsDingde Jiang, Houbing Song
Publication date2022
ISBN (Print)9783030971236
Publication statusPublished - 2022
Event13th EAI International Conference on Simulation Tools and Techniques, SIMUtools 2021 - Virtual, Online
Duration: 5. Nov 20216. Nov 2021


Conference13th EAI International Conference on Simulation Tools and Techniques, SIMUtools 2021
CityVirtual, Online
SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume424 LNICST


  • Discrete-event simulation
  • Open source
  • Performance comparison


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