跨组织工作流系统可靠服务计算关键技术研究

项目名称： 跨组织工作流系统可靠服务计算关键技术研究

项目编号： No.61272036

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 谭文安

作者单位： 上海第二工业大学

项目金额： 60万元

中文摘要： 云计算等新技术广泛应用有效促进了企业开展跨组织的协同工作.在开放、动态、不确定为特征的面向服务的分布式计算环境中,可靠服务计算面临着新的挑战.针对跨组织工作流存在描述语义歧义、恶意欺骗，原子服务信任评估方法无法真实反映出服务组合的可信度等服务计算难点问题,根据本体论原理,拟引入服务本体OWL-S,设计可靠服务的语义本体模型,建立一套完善的、基于螺旋型演化的跨组织工作流系统可靠服务计算模型和评估机制.创新性表现在:①拟提出可靠服务本体建模理论与方法，实现跨组织工作流可靠服务定性分析与定量计算;②拟提出一个集成企业信用与能力的动态评价模型,支持跨组织工作流可信服务合作伙伴选择,基于BPI技术,建立可靠服务工作流预应急机制;③拟提出基于工作流挖掘的智能推荐服务计算模型,实现螺旋型演化的跨组织工作流可靠服务计算方法. 本研究对解决跨组织复杂系统优化与集成和可靠服务问题具有重要科学意义和实用价值.

中文关键词： 可靠性；服务计算；跨组织工作流应用；业务过程智能；可信计算

英文摘要： The widely use of Cloud Computing, Intelligent Computing and Service-Oriented Architecture (SOA) technologies have promoted cross-enterprises to realize computer supported cooperative work. The Cross-Organizational workflow offers enterprise the opportunity to reshape business processes beyond the boundaries of their own organization. Efficient and reliable service computing for Cross-Organizational workflow is crucial for achieving high enterprise performance. However, in the service-oriented large-scale distributed computing environment, the uncertainty, heterogeneity and unreliability existed in the environment have caused great threat to the reliable service computing for Cross-Organizational workflow application. In this study, visual process modeling language (VPML), process specification language (PSL) and OWL-S will be combined to design a trust service-oriented ontology model by utilizing ontology technology. A reliable service computing algorithm based on spiral evolution and its comprehensive evaluation mechanism will be proposed for cross-organizational workflow application. The innovative contributions of this research are as follows: 1) A methodology towards the reliable service ontology modeling will be proposed for implementing trust service computing and analysis within cross-organizational wor

英文关键词： Relability；Service Computing；Cross-Organizational Workflow Applications；Business Process Intelligence；Trust Computing