TITLE:
A Personalized Cloud Services Recommendation Based on Cooperative Relationship between Services
AUTHORS:
Chengwen Zhang, Jiali Bian, Bo Cheng, Lingfei Li
KEYWORDS:
Personalized Recommendation; Cloud Service; Quality of Service; Similarity; Cooperative Relationship
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.12,
December
5,
2013
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.