Paper Info
Title
Scalability in the MASON Multi-Agent Simulation System.
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.
Year
DOI
Venue
2018
10.1109/DISTRA.2018.8601006
DS-RT
Keywords
Field
DocType
discrete event simulation,MASON multiagent simulation system,distributed MASON,logical processes,load balancing,Amazon Cloud,MASON agent-based simulation tool,standard multiagent models
Load management,Computer science,Load balancing (computing),Schedule,Crowd simulation,Data management,Distributed computing,Discrete event simulation,Scalability,Cloud computing
Conference
ISSN
ISBN
Citations 
1550-6525
978-1-5386-5048-6
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Haoliang Wang113.42
Ermo Wei221.41
Robert Simon3226.54
Sean Luke41737152.39
Andrew Crooks520024.67
David Freelan621.37
Carmine Spagnuolo74410.31