Dynamic Service and Data Migration in the Clouds

Cloud computing is an emerging computation paradigm. To support successful cloud computing, service oriented architecture (SOA) should play a major role. Due to the nature of widely distributed service providers in clouds, the service performance could be impacted when the network traffic is congested. This can be a major barrier for tasks with real-time requirements. In clouds, this problem can be solved by migrating services to different platforms such that the communication cost can be minimized. In this paper, we consider the problem of service selection and migration in clouds. We develop a framework to facilitate service migration and design a cost model and the decision algorithm to determine the tradeoffs on service selection and migration.