Online adaptive optimization for event-driven dynamic service composition
事件驱动的动态服务组合策略在线自适应优化

An event-driven dynamic service composition strategy is presented for networked new media service systems to improve the resource utilization while simultaneously ensuring the quality of service(QoS) for multi-class services. An analytical model of semi-Markov switching state-space control processes is introduced to formulate the dynamic service composition problem. By utilizing the dynamic hierarchy of this model and the features of event-driven policy, an online optimization algorithm that combines stochastic approximation with the policy iteration is proposed. This algorithm is independent of any prior knowledge of system parameters and is with less computational cost. Simulation results demonstrate the effectiveness of the proposed algorithm.