跨组织工作流系统可靠服务计算关键技术研究

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 workflow system; 2) An integrated dynamic evluation model combining enterprise trust and the process performance will be proposed for supporting the selection of the reliable service members, and a predictional emergency mechanism will be built for the reliable service workflow system based on Business Process Intelligence technology; and 3) a recommendatory model of collaborative service computing will be designed based on intelligent workflow mining to implement reliable service computation in cross-organizational workflow system with the evolutive style of spiral. . Reliable service computation is a key technology to effectively support the achievement of dynamic workflow modeling, scheduling, optimization and integration for Cross-Organizational workflow application. The study of reliable service computation is significant for science and enterprise management.

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.

云计算等新技术广泛应用有效地促进企业实现跨组织工作流的协同工作。在开放、动态、不确定为特征的面向服务的大型分布式计算环境中，企业可靠服务计算面临着新挑战。针对跨组织间工作流描述语义歧义，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，根据企业本体论原理，在可视化建模语言VPML和PSL的基础上引入服务本体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可靠服务计算模型和评估机制。主要创新性表现在：1）采用分层任务网络规划方法，实现跨组织工作流的快速分解和集成，形成可靠服务工作流应急机制；2）通过集成企业过程性能评估计算模型实现可信服务提供者的选择方法；3）提出基于智能工作流挖掘的协同推荐服务计算模型。.本研究无论是对现代企业管理、跨组织工作流动态建模、调度、优化、异构工作流集成以及可靠服务计算模型研究都具有十分重要学术价值。