A Latency Awareness Job Distribution Algorithm for Grid Networks

摘要

To achieve a scalable and reliable Grid network system, the workload needs to be efficiently distributed among the computing resources accessible on the network. Therefore, in this paper, we present a distributed and scalable load-balancing framework for Grid Networks using biased random sampling. We demonstrate that introducing a latency awareness factor in the random sampling can reduce the effects of communication latency in the Grid network environment. Simulation results show that the resulted network system provides an effective, scalable, and reliable load-balancing scheme for the distributed resources available on Grid networks.