Event-driven dynamic service composition for networked new media service systems

An event-driven dynamic service composition strategy is presented for networked new media service systems to improve the resource utilization while simultaneously guarantee the QoS of multi-class services. First, an analytical model based on semi-Markov switching state-space control processes is introduced to formulate the dynamic service composition problem. Then, by utilizing the dynamic hierarchy of this model and the features of event-driven policy, an online optimization algorithm that combines potentials estimation and policy iteration is proposed. This algorithm doesn´t depend on any prior knowledge of system parameters and is with less computational cost. Simulation results demonstrate the effectiveness of the proposed algorithm.