网格环境下的信任服务分级模型

在网格社区中,建立一个共享资源间的好的协作关系,是网格的基础研究课题。网格资源的局部自治性、动态性、随机性,都要求建立一个安全的有效的机制。本文提出了一种个性化的网格信任模型。该信任模型包括两部分：信誉和风险。信誉是长时间积累起来的行为统计特征,风险是一种短期的行为特征。风险主要处理恶意的行为,它区别于信誉模型。本文的主要贡献是将这信任模型引入到网格的信任理论中,使得无序、随机的网格服务变成有序的网格服务。

Service Rank Based on Trust Model in Grid Environment

Building a share resource cooperation relation in grid community is the fundamental and challenging research topic because of localize autonomous, dynamical, stochastic, and absence of an effective security mechanism, it lies at the core of interactions between the consumer and provider that have to operate in such uncertain and constantly changing environments. This paper defines the service trust model, and propose a good cooperation model based service trust model. In order to measure the relative available of services, we propose ServiceRank, a method for computing a ranking for every services based trust model. In order to building high available problem solving environment, we need set up a safe and effective mechanism. The trust model consists of two parts: reputation evaluation and risk evaluation. Reputation is the accumulative assessment of the long-term behavior, while the risk evaluation is the opinion of the short-term behavior. This paper contributes to first modeling the risk as the opinion of short-term trustworthiness and combining with traditional reputation evaluation to derive the trustworthiness in this field.