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Scalability in the MASON Multi-Agent Simulation System

  • Haoliang Wang
  • , Ermo Wei
  • , Robert Simon
  • , Sean Luke
  • , Andrew Crooks
  • , David Freelan
  • , Carmine Spagnuolo
  • George Mason University
  • University of Salerno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper describes Distributed MASON, a distributed version of the MASON agent-based simulation tool. Distributed MASON is architected to take advantage of well known principles from Parallel and Discrete Event Simulation, such as the use of Logical Processes (LP) as a method for obtaining scalable and high performing simulation systems. We first explain data management and sharing between LPs and describe our approach to load balancing. We then present both a local greedy approach and a global hierarchical approach. Finally, we present the results of our implementation of Distributed MASON on an instance in the Amazon Cloud, using several standard multi-agent models. The results indicate that our design is highly scalable and achieves our expected levels of speed-up.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018
EditorsEva Besada, Oscar Rodriguez Polo, Robson De Grande, Robson De Grande, Jose Luis Risco Martin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-144
Number of pages10
ISBN (Electronic)9781538650486
DOIs
StatePublished - Jul 2 2018
Event22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018 - Madrid, Spain
Duration: Oct 15 2018Oct 17 2018

Publication series

NameProceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018

Conference

Conference22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018
Country/TerritorySpain
CityMadrid
Period10/15/1810/17/18

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