An efficient service adaptation method towards joint-cloud computing

With the growing demands of users in cloud services, joint-cloud computing has become a new generation cloud computing paradigm, enabling open collaboration and resource inte- gration among multiple cloud service providers. To address the challenges in service adaptation in a joint cloud system, we utilize Quality of Service (Qos) and propose a QoS-based vectorization method for describing joint-cloud services. Meanwhile, we design an efficient service adaptation method for a joint-cloud system based on query-aware locality-sensitive hashing (LSH) technique, enabling the swift removal of faulty services. The experimental results show that our proposed method performs better than the compared method in efficiency.