Joint Optimization of Multidimensional Resources Allocation in Cloud Networking

Abstract

Cloud networking enables flexible service deployments and agile function managements. The convergence of cloud and networking requires the integration of transmission, computation, and storage resources. In this paper, a unified mathematical model on joint optimization of transmission, computation, and storage resources allocation is established, aiming at reducing the job completion time and improving the resource utilization efficiency. To so do, computation resources are first virtualized and then discretized in the time domain. Then we realize the coordination of routing process and transmission, computation resources in cloud networking. Simulation results demonstrate that the propose method could reduce the job completion time by 33%.