A framework of evaluating partitioning mechanisms for agent-based simulation systems
For an agent-based system that aims to simulate a large number of agents under different scenarios, a proper partitioning mechanism is an essential factor to the performance of the system. However, there is still an issue on selecting/ developing an appropriate partitioning mechanism for a specific agent-based simulation system. One way is to implement distributed agent-based systems using multiple partitioning mechanisms and to compare their performance. However this is in general not feasible. In this paper, we propose a generic framework and a simple evaluation process to address the issue of selecting an appreciate partitioning mechanism by simulating the effect of the partitioning mechanism to predict its performance for an agent-based simulation system.