A Personalized Cloud Services Recommendation Based on Cooperative Relationship between Services

Chengwen Zhang, Jiali Bian, Bo Cheng, Lingfei Li

Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts & Telecommuni- cations, Beijing, China.
Beijing University of Posts & Telecommunications, Beijing, China.
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts & Telecommunications, Beijing, China.

DOI: 10.4236/jsea.2013.612074                

Abstract

A personalized recommendation for cloud services, which is based on usage history and the cooperative relationship of cloud services, is presented. According to service groups, a service group could be defined as several services that were used together by one user at a time, and cooperative relationship between each two services can be calculated. In the process of recommendation, the services which are highly related to the service that the user has selected would be obtained firstly, the result should then take the QoS (Quality of Service) similarity between service’s QoS and user’s preference into account, so the final result combining the cooperative relationship and similarity will meet the functional needs of users and also meet the user’s personalized non-functional requirements. The simulation proves that the algorithm works effectively.

Keywords

Personalized Recommendation; Cloud Service; Quality of Service; Similarity; Cooperative Relationship

Conflicts of Interest

The authors declare no conflicts of interest.

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