摘要
当前,面向服务的计算方式发展迅猛,出现了聚合多个个体服务的组合服务。同时,多个原子服务可能实现一个服务功能。在这种环境下,如何选择合适的服务以实现服务组合是当前研究的热点问题。然而,传统的选择方法难以应对大规模的服务场景。首先对服务选择的问题模型进行了描述;其次提出了基于蒙特卡罗法的并行选择算法;最后,提出了实现并行化的服务选择基本框架。
Currently,with the development of SOC（Service-Oriented Computing）,there are some composite services which are composed of some individual services.On the other hand,the services with the same function can offer the different quality level for users.This paper addresses the problem on service selection.In order to optimize the composite service,the service selection approach needs to tackle with the large-scale service environment.The mathematic model is established for the problem and the monte carlo-based algorithm is proposed to solve it.Finally,the paralleized framework is proposed to realize the approach.
出处
《软件导刊》
2012年第3期6-8,共3页
Software Guide
