Load Distribution for Heterogeneous and Non-Dedicated Clusters Based on Dynamic Monitoring and Differentiated Services
نویسندگان
چکیده
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 nondedicated 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.
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تاریخ انتشار 2003