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This paper discusses a load distribution strategy for distributed object computing systems. Our strategy relies on dynamic monitoring and application profiling to manage workloads and improve the system performance of non-dedicated clusters of heterogeneous computers. Application profiling and the combined use of load balancing mechanisms have proven useful to deal with services with a differentiated demand for resources. The use of this strategy allows for load balancing and performance improvement with low overhead.