QoS based cloud service composition with optimal set of services using PSO

With the increasing number of cloud services, it becomes very difficult to choose a optimal set of cloud services among the many possible composition available for a complicated task. Due to many functionality equivalent cloud service available, QoS (Quality of Service) parameters play a vital role during the selection of the cloud services. This paper introduce a QoS based modified PSO (Particle Swarm Optimization) approach which reduce the search space for cloud service composition. Here, we propose a modified PSO-based cloud service composition algorithm (MPSO-CSC), which first prune dominated cloud services and then employs PSO to find the set of optimal cloud services. We evaluate the proposed methodology on a real QWS dataset. Through experimental result analysis it has been found that proposed approach converges fast and giving optimized result for QoS based cloud service composition.