Parallel Execution of Social Simulation Models in a Grid Environment

The exploration of agent-based social simulation models with a systematic analysis over its parameter space leads to a common problem. It takes too much time to get enough results for a significant analysis of the data generated by the simulation runs over those models. In this paper we show how one can minimise this problem by using grid computing. That is, constructing a social simulation model, designing an experiment and distributing the experiment over a computer grid, running a social simulation model with different parameter combinations in parallel. We supply a working example using the MASON framework and the JPPF framework.

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