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.
Citation:
Hermes Senger, Liria Matsumoto Sato, "Load Distribution for Heterogeneous and Non-Dedicated Clusters Based on Dynamic Monitoring and Differentiated Services," cluster, pp.199, Fifth IEEE International Conference on Cluster Computing (CLUSTER'03), 2003