A cloud service discovery approach based on FCA

Cloud computing has attracted great interest from both academic and industrial communities. More and more cloud services have been developed in the cloud computing environments. But it is a challenging task to discovery the suitable service from large number of services efficiently. We present in this paper a new service discovery approach based on FCA. First, filter irrelevant services by availability parameter and semantic distance similarity, then handle the nonfunctional QoS attributes with FCA, classify services by their QoS levels and select suitable service for user. We use OWLS-TC to validate our service discovery approach and the results show that our approach not only provide suitable service for user, but also very efficient.