QoS-Aware Service Recommendation for Multi-tenant SaaS on the Cloud

With the proliferation of cloud computing, more and more functionally equivalent cloud services with varied quality of service (QoS) have emerged. Service selection for a SaaS (Software as a Service) has become a critical issue in cloud environments, and the transition from single-tenancy to multi-tenancy has made this issue more complicated. Existing approaches suffer from low efficiency in finding optimal solutions, especially in large-scale scenarios. As a result, QoS-aware service recommendation is becoming increasingly important for selecting services for a multi-tenant SaaS that simultaneously serves multiple clients with differentiated QoS requirements. In this paper, we propose a novel service recommendation approach that largely improves the efficiency of QoS-aware service selection for multi-tenant SaaS. Our approach significantly reduces the search space of the service selection problem by selecting representative candidate services based on the diversity and similarity in tenants´ QoS requirements for the SaaS. The experimental results demonstrate the effectiveness and efficiency of our approach.