In the last few years, cloud computing as a new computing paradigm has gone through significant development but also faces many problems. One of them is the cloud service selection problem, since increasingly boosting cloud services are offered through the Internet, while some of them may be not reliable or even malicious, thus how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on Evidential Reasoning (ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to attain the real-time trust value so as to select the most trustworthy cloud service of some certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.
Fan et al. REF propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach which aggregates multidimensional trust feedback ratings to form the reputation values of the cloud service providers.
A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach
International Journal of Automation and Computing
Mathematics