Scalability in the MASON Multi-Agent Simulation System

Haoliang Wang; Ermo Wei; Robert Simon; Sean Luke; Andrew Crooks; David Freelan; Carmine Spagnuolo

doi:10.1109/DISTRA.2018.8601006

Scalability in the MASON Multi-Agent Simulation System

Haoliang Wang
, Ermo Wei
, Robert Simon
, Sean Luke
, Andrew Crooks
, David Freelan
, Carmine Spagnuolo

Geography

University at Buffalo

George Mason University
University of Salerno

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018
Editors	Eva Besada, Oscar Rodriguez Polo, Robson De Grande, Jose Luis Risco Martin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-144
Number of pages	10
ISBN (Electronic)	9781538650486
DOIs	https://doi.org/10.1109/DISTRA.2018.8601006
State	Published - Jul 2 2018
Event	22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018 - Madrid, Spain Duration: Oct 15 2018 → Oct 17 2018

Publication series

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

Conference

Conference	22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018
Country/Territory	Spain
City	Madrid
Period	10/15/18 → 10/17/18

Access to Document

10.1109/DISTRA.2018.8601006

Cite this

Wang, H., Wei, E., Simon, R., Luke, S., Crooks, A., Freelan, D., & Spagnuolo, C. (2018). Scalability in the MASON Multi-Agent Simulation System. In E. Besada, O. R. Polo, R. De Grande, & J. L. Risco Martin (Eds.), Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018 (pp. 135-144). Article 8601006 (Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISTRA.2018.8601006

Wang, Haoliang ; Wei, Ermo ; Simon, Robert et al. / Scalability in the MASON Multi-Agent Simulation System. Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018. editor / Eva Besada ; Oscar Rodriguez Polo ; Robson De Grande ; Jose Luis Risco Martin. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 135-144 (Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018).

@inproceedings{15fb40b31fdf4aeebd4289c9d135ba38,

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.",

author = "Haoliang Wang and Ermo Wei and Robert Simon and Sean Luke and Andrew Crooks and David Freelan and Carmine Spagnuolo",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018 ; Conference date: 15-10-2018 Through 17-10-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/DISTRA.2018.8601006",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "135--144",

editor = "Eva Besada and Polo, \{Oscar Rodriguez\} and \{De Grande\}, Robson and \{Risco Martin\}, \{Jose Luis\}",

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

address = "United States",

}

Wang, H, Wei, E, Simon, R, Luke, S, Crooks, A, Freelan, D & Spagnuolo, C 2018, Scalability in the MASON Multi-Agent Simulation System. in E Besada, OR Polo, R De Grande & JL Risco Martin (eds), Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018., 8601006, Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018, Institute of Electrical and Electronics Engineers Inc., pp. 135-144, 22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018, Madrid, Spain, 10/15/18. https://doi.org/10.1109/DISTRA.2018.8601006

Scalability in the MASON Multi-Agent Simulation System. / Wang, Haoliang; Wei, Ermo; Simon, Robert et al.
Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018. ed. / Eva Besada; Oscar Rodriguez Polo; Robson De Grande; Jose Luis Risco Martin. Institute of Electrical and Electronics Engineers Inc., 2018. p. 135-144 8601006 (Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Scalability in the MASON Multi-Agent Simulation System

AU - Wang, Haoliang

AU - Wei, Ermo

AU - Simon, Robert

AU - Luke, Sean

AU - Crooks, Andrew

AU - Freelan, David

AU - Spagnuolo, Carmine

PY - 2018/7/2

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N2 - 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.

AB - 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.

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M3 - Conference contribution

T3 - Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018

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

A2 - Besada, Eva

A2 - Polo, Oscar Rodriguez

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A2 - Risco Martin, Jose Luis

PB - Institute of Electrical and Electronics Engineers Inc.

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Wang H, Wei E, Simon R, Luke S, Crooks A, Freelan D et al. Scalability in the MASON Multi-Agent Simulation System. In Besada E, Polo OR, De Grande R, Risco Martin JL, editors, Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 135-144. 8601006. (Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018). doi: 10.1109/DISTRA.2018.8601006

Scalability in the MASON Multi-Agent Simulation System

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