复杂跨组织协同中基于深度信任推理的服务组合

以云计算环境下跨组织协同中服务提供者(SP)与服务消费者(SC)的深度信任推理及演化过程为研究对象,通过构建服务直接交互信任关系为主、公共信誉反馈为辅的QoS评价及修正方法,建立支持复杂跨组织协同的基于深度信任推理的服务组合策略。该策略在前期研究基础上,利用概率密度函数来表征服务实体间的信任度,通过研究基于概率密度函数的服务间接信任关系的计算、传递及合并方法,最后设计了基于深度信任推理的服务组合算法。仿真实验表明:该方法能有效评价服务参与者的信任度,提高复杂跨组织协同环境中服务组合的质量。

Approach of service combination based on deepness trust reasoning in complex cross-organizational collaboration

The deepness credibility reasoning and evolution process was used for SP and SC in cloud computing environment for cross-organizational collaboration as the research object,and by the QoS evaluation and effective correction method which are mainly based on direct interactive trust relationship among service entities,taking the public credibility of the feedback system as a supplement,a strategy of service combination based on deepness trust reasoning supporting complex cross-organizational collaboration was established.The method used probability density function to represent the credibility of entities based on probability theory and the computing by studying reasoning and merging method in service indirect trust relationship and QoS correction strategy based on probability density,service combination algorithm based on deepness trust reason was devised.The results show that the method can effectively evaluate the credibility of service participants,and enhance the qualities of service combination in complex cross-organizational collaboration.