Load Balancing in Arbitrary Network Topologies with Stochastic Adversarial Input


We study the long-term (steady state) performance of a simple, randomized, local load balancing technique under a broad range of input conditions. We assume a system of n processors connected by an arbitrary network topology. Jobs are placed in the processors by a deterministic or randomized adversary. The adversary knows the current and past load… (More)
DOI: 10.1137/S0097539703437831


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