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Dynamic load balancing is a key factor in achieving high performance for large scale distributed simulations on grid infrastructures. In a grid environment, the available resources and the simulationpsilas computation and communication behavior may experience run-time critical imbalances. Consequently, an initial static partitioning should be combined with a dynamic load balancing scheme to ensure the high performance of the distributed simulation. In this paper, we propose a novel dynamic load balancing scheme for distributed simulations on a grid infrastructure. Our scheme is composed of an on-line network analyzing service coupled with monitoring agents and a run-time model repartitioning service. We present a hierarchical scalable adaptive JXTA service based scheme and demonstrate through simulation experiments that our proposed scheme exhibits better performance in terms of the simulation execution time.