%0 Journal Article
%T Online adaptive optimization for event-driven dynamic service composition<br>事件驱动的动态服务组合策略在线自适应优化
%A JIANG Qi
%A XI Hong-sheng
%A YIN Bao-qun
%A <br>江琦
%A 奚宏生
%A 殷保群
%J 控制理论与应用
%D 2011
%I 
%X 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.
%K dynamic service composition
%K hierarchical Markov control processes
%K policy iteration
%K service overlay networks
%K optimization algorithm<br>动态服务组合
%K 层次化Markov控制过程
%K 策略迭代
%K 服务覆盖网络
%K 优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=F346442AA51D63DCDA3780347005D0FB&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=AE9D5375B9B2D7F2&eid=309A221A57FE8496&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=19