Optimization of workload scheduling for multimedia cloud computing

The cloud based multimedia applications have been widely adopted in recent years. Due to the large-scale and time-varying workload, an effective workload scheduling scheme is becoming a challenge faced by multimedia application providers. In this paper, we study the workload scheduling schemes for multimedia cloud. Specifically, we examine and solve the response time minimization problem and the resource cost minimization problem, respectively. Moreover, we propose a greedy algorithm to efficiently schedule workload for practical multimedia cloud. Simulation results demonstrate that the proposed workload scheduling schemes can optimally balance workload to achieve the minimal response time or the minimal resource cost for multimedia application providers.