An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems

Authors:
Ton Oguara;Dan Chen;Georgios Theodoropoulos;Brian Logan;Michael Lees
Affiliations:
School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;School of Computer Science and Information Technology University of Nottingham, Nottingham NG8 1BB, UK;School of Computer Science and Information Technology University of Nottingham, Nottingham NG8 1BB, UK
Venue:
DS-RT '05 Proceedings of the 9th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Year:
2005

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Abstract

The paper presents a load management mechanism for distributed simulations of multi-agent systems. The mechanism minimises the cost of accessing the shared state in the distributed simulation by dynamically redistributing shared state variables according to the access pattern of the simulation model. To evaluate the effectiveness and performance of the mechanism, a series of benchmark experiments were performed using the PDES-MAS framework for distributed simulation of multi-agent systems. Although preliminary, the results indicate that the proposed mechanism signi.- cantly reduces the overall access cost of the system.