PDES-MAS : distributed simulation of multi-agent systems
Multi-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for capturing the dynamics of complex systems in a wide range of domains, from system biology to adaptive socio-technical system of systems. The execution of such MAS simulations on parallel machines is a challengi...
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sg-ntu-dr.10356-984742020-05-28T07:18:28Z PDES-MAS : distributed simulation of multi-agent systems Suryanarayanan, Vinoth Theodoropoulos, Georgios Lees, Michael School of Computer Engineering DRNTU::Engineering::Computer science and engineering Multi-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for capturing the dynamics of complex systems in a wide range of domains, from system biology to adaptive socio-technical system of systems. The execution of such MAS simulations on parallel machines is a challenging problem due to their dynamic, non-deterministic, data-centric behaviour and nature. These problems are exacerbated as the scale of such MAS models increases. PDES-MAS is a distributed simulation kernel developed specifically to support MAS models addressing the problems of partitioning, load balancing and interest management in an integrated, transparent and adaptive manner. This paper presents an overview of PDES-MAS and for the first time it provides a quantitative evaluation of the system. Published version 2014-10-15T01:28:51Z 2019-12-06T19:55:37Z 2014-10-15T01:28:51Z 2019-12-06T19:55:37Z 2013 2013 Journal Article Suryanarayanan, V., Theodoropoulos, G., & Lees, M. (2013). PDES-MAS : distributed simulation of multi-agent systems. Procedia computer science, 18, 671-681. 1877-0509 https://hdl.handle.net/10356/98474 http://hdl.handle.net/10220/24029 10.1016/j.procs.2013.05.231 en Procedia computer science © 2013 The Authors. This paper was published in Procedia Computer Science and is made available as an electronic reprint (preprint) with permission of the Authors. The paper can be found at the following official DOI: http://dx.doi.org/10.1016/j.procs.2013.05.231. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 11 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Suryanarayanan, Vinoth Theodoropoulos, Georgios Lees, Michael PDES-MAS : distributed simulation of multi-agent systems |
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Multi-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for capturing the dynamics of complex systems in a wide range of domains, from system biology to adaptive socio-technical system of systems. The execution of such MAS simulations on parallel machines is a challenging problem due to their dynamic, non-deterministic, data-centric behaviour and nature. These problems are exacerbated as the scale of such MAS models increases. PDES-MAS is a distributed simulation kernel developed specifically to support MAS models addressing the problems of partitioning, load balancing and interest management in an integrated, transparent and adaptive manner. This paper presents an overview of PDES-MAS and for the first time it provides a quantitative evaluation of the system. |
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School of Computer Engineering |
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School of Computer Engineering Suryanarayanan, Vinoth Theodoropoulos, Georgios Lees, Michael |
format |
Article |
author |
Suryanarayanan, Vinoth Theodoropoulos, Georgios Lees, Michael |
author_sort |
Suryanarayanan, Vinoth |
title |
PDES-MAS : distributed simulation of multi-agent systems |
title_short |
PDES-MAS : distributed simulation of multi-agent systems |
title_full |
PDES-MAS : distributed simulation of multi-agent systems |
title_fullStr |
PDES-MAS : distributed simulation of multi-agent systems |
title_full_unstemmed |
PDES-MAS : distributed simulation of multi-agent systems |
title_sort |
pdes-mas : distributed simulation of multi-agent systems |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/98474 http://hdl.handle.net/10220/24029 |
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1681058133352382464 |