Dynamic instrumentation of threaded applications
Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Performance Prediction and Its Use in Parallel and Distributed Computing Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Tools and techniques for performance measurement of large distributed multiagent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Computer
Large scale multiagent simulation on the grid
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Requirements analysis of agent-based simulation platforms: state of the art and new prospects
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Applications of agent based simulation
MABS'06 Proceedings of the 2006 international conference on Multi-agent-based simulation VII
Smooth scaling ahead: progressive MAS simulation from single PCs to grids
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
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The computational Grid is an infrastructure which enables the execution of applications demanding huge computing resources. Hence, it can be the right environment for large-scale Multi-agent based simulation (MABS) applications. However, due to the nature of the Grid and the characteristics of MABS, achieving optimum performance poses a great challenge. Performance study of MABS applications is therefore a necessary undertaking which requires an understanding of these characteristics and the extent of their influence. Moreover, owing to the dynamicity and heterogeneity of the Grid, it is difficult to achieve performance gains without a middleware support for application deployment and dynamic reconfiguration. This paper presents a study of the key features of MABS applications that affect performance and proposes a supportive middleware to MABS platforms. Experiments show that the proposed middleware can bring performance improvement for MABS applications on the Grid.