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CLUE: balancing workloads in large distributed systems

In large, distributed computer systems, such as those used in on-line transaction processing (OLTP), every transaction is served by one of the participating processors. Load balancing is thus crucial, since imbalance greatly decreases overall system performance. CLUE, a CLUstering Environment tool, now provides automatic workload characterization and balancing. Using a series of parameters, CLUE uniquely identifies transactions with similar requirements in terms of resources. It then compresses the information without losing the essential data required for effective workload control. This has not previously been possible, which has been a barrier to using such information in dynamic routing and scheduling algorithms designed to balance network load automatically. CLUE then applies workload clustering algorithms, to gather transactions into different classes with similar resource demands and referencing behaviour.


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