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跨组织工作流致力于跨越组织界限的业务重组,经过组织体间的网络行为的直接交互与间接推荐,从而形成松散藕合的工作流联盟。这种基于网络行为形成的联盟信任机制具有身份信任不可替代的作用。文章提出了一种基于网络行为的联盟信任模型,研究了D-S证据理论和冲突处理方法在工作流联盟信任模型中的应用。为了解决间接信任度的计算问题,对经验推荐路径的搜索进行了研究。利用这些理论来解决模型中信任的度量、传递和组合问题。结果分析表明,与已有的工作流联盟模型相比,提出的工作流联盟信任模型具有更细的可信实体粒度和更精确的组合信任度。模拟实验结果证实了工作流信任模型可有效提高联盟的稳定性,提高了工作流执行的成功率。
Cross-organizational workflow is committed to business restructuring across organizational boundaries, through the direct interaction between network organizations and indirect recommendation, thus forming a loosely coupled workflow alliance. This kind of network-based alliance trust mechanism has the role of identity trust. This paper presents a coalition trust model based on network behavior, and studies the application of D-S evidence theory and conflict processing methods in the workflow coalition trust model. In order to solve the calculation problem of indirect trust, the search of experience recommendation path is studied. Use these theories to solve the problem of trust measurement, transfer and composition in the model. The results show that compared with the existing workflow alliance model, the proposed workflow alliance trust model has a finer granularity of credible entities and a more accurate combination of trust. Simulation results show that the workflow trust model can effectively improve the stability of the coalition and improve the success rate of workflow execution.