云环境中大数据组件服务的可靠选择机制研究  

Research on Reliable Selection of Big Data Component Services in Cloud Environment

作　　者：陈莉萍[1] 

机构地区：[1]渭南师范学院网络安全与信息化学院,渭南714000

出　　处：《网络新媒体技术》2016年第4期8-15,共8页Network New Media Technology

基　　金：陕西省教育厅教育科研项目(15jk1237)

摘　　要：利用云计算构建大数据组合服务为用户使用网络资源提供了便利途径。然而传统的面向QoS的大数据服务选择中,并没有考虑到组件服务的可靠性。本文提出一种利用服务事务属性进行组件服务选择的方法,确保服务组合的一致性和可靠性。该方法中定义服务的事务属性和反映用户事务需求的冒险度,建立了事务驱动的服务选择有限自动机。并利用实验证明该选择机制是有效的。Cloud computing is used to build big data composite services, which supply advantage approachs for using network resource. However, the QoS - aware selections of big data services don＇ t consider reliability of component services. This paper addresses the is- sue of selecting component services according to their transactional properties, which can ensure reliability and consistency of Web service composition. Transactional properties and risk are defined for Web service, and a transaction - driven finite automaton of serv- ice selection is proposed. Experimental results show that the selection mechanism is effective.

关 键 词：云环境 大数据 服务选择 事务属性 工作流模式 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]