CloudRec: A Mobile Cloud Service Recommender System Based on Adaptive QoS Management

The rapid development and growth of mobile Internet and cloud computing have made the usage of mobile cloud services widespread. However, many similar functionalized cloud services available in global markets cause difficulties for mobile users to select proper services to consume. Obviously the quality of a mobile cloud service is affected by its usage context. Users expect qualified services that can cope with their usage situations and are optimized for satisfying their expectations. In this paper, we introduce a mobile cloud service recommender system named CloudRec based on adaptive Quality of Service (QoS) management. The QoS is assessed based on service performance monitoring at mobile devices and user feedback on service quality, which are important factors influencing user trust. The system can adaptively recommend the most appropriate mobile cloud service to a user according to the user´s usage context. System evaluation based on a prototype implementation shows the effectiveness of CloudRec.