title: Trust-Enhanced Cloud Service Selection Model Based on QoS Analysis.
abstract: Cloud computing technology plays a very important role in many areas, such as in the construction and development of the smart city. Meanwhile, numerous cloud services appear on the cloud-based platform. Therefore how to how to select trustworthy cloud services remains a significant problem in such platforms, and extensively investigated owing to the ever-growing needs of users. However, trust relationship in social network has not been taken into account in existing methods of cloud service selection and recommendation. In this paper, we propose a cloud service selection model based on the trust-enhanced similarity. Firstly, the direct, indirect, and hybrid trust degrees are measured based on the interaction frequencies among users. Secondly, we estimate the overall similarity by combining the experience usability measured based on Jaccard's Coefficient and the numerical distance computed by Pearson Correlation Coefficient. Then through using the trust degree to modify the basic similarity, we obtain a trust-enhanced similarity. Finally, we utilize the trust-enhanced similarity to find similar trusted neighbors and predict the missing QoS values as the basis of cloud service selection and recommendation. The experimental results show that our approach is able to obtain optimal results via adjusting parameters and exhibits high effectiveness. The cloud services ranking by our model also have better QoS properties than other methods in the comparison experiments.
authors.affiliation: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, PR China.|Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, 230009, Anhui, PR China.
authors.forename: Yuchen
authors.initials: Y
authors.lastname: Pan
authors.affiliation: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, PR China.|Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, 230009, Anhui, PR China.
authors.forename: Shuai
authors.initials: S
authors.lastname: Ding
authors.affiliation: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, PR China.|Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, 230009, Anhui, PR China.
authors.forename: Wenjuan
authors.initials: W
authors.lastname: Fan
authors.affiliation: State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, PR China.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, PR China.|Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, 230009, Anhui, PR China.
authors.forename: Shanlin
authors.initials: S
authors.lastname: Yang
mesh_terms: D000067917:Cloud Computing / Q000592:standards; D006801:Humans; D008962:Models, Theoretical; D035502:Trust