网格中推荐信任计算的关键问题分析

Research on the Computation of Recommend Trust in Grid

在资源分布广泛、实体直接交互稀疏的网格环境中,推荐信任的计算作为网格信任管理模型中的重要组成部分,已成为一个研究的热点问题。该文在阐述网格信任模型基本概念的基础上,围绕推荐信任计算中的几个关键问题展开分析讨论,指出现有机制的利弊,归纳分析了若干相应改进机制,最后提出了关于下一步的研究方向。

In Grid Environment with the widespread distribution of grid resources and the sparseness of transactions between entities, the computation of recommend trust ,as a key component of trust management, has become a hot spot for research. Based on a presentation of the fundamental conceptions of grid trust model, this paper centered on several problems key to the computation of recommend trust Analysis and discussions are given , pointing out the advantages and drawbacks of the current mechanisms, as well as summarizing several relevant improved mechanisms. Finally, several proposals are offered for further research.