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2015 | OriginalPaper | Chapter

Measuring and Comparing Scalability of Agent-Based Simulation Frameworks

Authors : Fabian Lorig, Nils Dammenhayn, David-Johannes Müller, Ingo J. Timm

Published in: Multiagent System Technologies

Publisher: Springer International Publishing

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Abstract

While computer simulation gained importance as a technique for generating knowledge in various research disciplines, the size of simulation models representing real world scenarios is growing, too. In Social Simulation, e.g., there is a need to simulate a large number of humans using individual software agents for generating and analyzing human-like behavior in artificial societies. Nowadays, a variety of toolkits and frameworks exists providing functionalities for supporting implementation and execution of simulation experiments. Yet, the choice of a suitable framework is difficult as unforeseen scalability issues may arise when extending agent models. Therefore, this paper aims at providing a method for analyzing and comparing agent-based simulation frameworks regarding their ability to scale simulation models and experiments. Based on performance metrics, standardized experiments are conducted while altering internal and external scaling parameters. As part of the study, four Java-based agent frameworks are analyzed and compared: Aimpulse Spectrum, JADE, MASON, and Repast.

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previous chapter A Metrics Framework for Quantifying Autonomy in Complex Systems
next chapter Integrating Agent Actions and Workflow Operations
Footnotes
2
http://​www.​flamegpu.​com (last visited Oct. 3, 2015).
 
3
http://​www.​anylogic.​com (last visited Oct. 3, 2015).
 
4
http://​www.​aimpulse.​com (last visited Oct. 3, 2015).
 
5
http://​jade.​tilab.​com (last visited Oct. 3, 2015).
 
8
A virtual machine (VM) emulates a real computer system. Doing so, hardware configurations can be adjusted easily and without physically modifying the system.
 
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Metadata
Title
Measuring and Comparing Scalability of Agent-Based Simulation Frameworks
Authors
Fabian Lorig
Nils Dammenhayn
David-Johannes Müller
Ingo J. Timm
Copyright Year
2015
Book
Multiagent System Technologies

Print ISBN: 978-3-319-27342-6

Electronic ISBN: 978-3-319-27343-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-27343-3_3

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