Service Dynamic Trust Evaluation Model based on Bayesian Network in Distributed Computing Environment

In recent years, with the rapid development of computer network, distributed computing system has a very vast application prospect and potential utility value, which opens up a wealth of opportunities for different applications. With the characteristics of dynamic, heterogeneity, distribution, openness, voluntariness, uncertainty and deception, how to obtain trustworthy computing resource becomes a key issue in large-scale distributed computing research. Therefore, with considering the complex characters of trust in distributed computing environment, firstly, we construct STE architecture to rank and observe trust, which includes STE Broker, Monitoring and STE Catalogue. Secondly, a more comprehensive dynamic trust evaluation model is constructed based on Bayesian network. Finally, we apply simulation platform to imitate trust evolution process and collect related data, and the proposed method has been serviced in complex simulation system, and the results have indicated that the model is unbiased and effective. The first part is the research status and related problems. The second part is the establishment of an evaluation model. The last part is the experimental analysis and conclusion.