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Based on stochastic switching model, an event-driven dynamic load balancing strategy is presented for the streaming media clustered server systems. This strategy increases the server cluster availability by balancing the workloads among the servers within a cluster. Additionally, it improves the access hit ratio of cached files in delivery servers to alleviate the limitation of I/O bandwidth of storage node. First, the load balancing problem is formulated as a two-layer semi-Markov switching state-space control process. Then, an online policy iteration algorithm is proposed to optimize the file grouping policy. By utilizing the features of the event-driven policy, the proposed optimization algorithm is adaptive and with less computational cost. Simulation results demonstrate the effectiveness of the proposed approach.
Control Conference, 2008. CCC 2008. 27th Chinese
Date of Conference: 16-18 July 2008