Balancing Energy consumption and User experience for Multimedia Cloud Computing

Abstract

Abstract Multimedia services are usually expected to be delivered to the user at the level of Quality of Experience (QoE) which he expects. Hence the multimedia services have moved to a cloud-based environment. A typical cloud-based environment consists of a highly distributed range of servers. There is an urgent need to make these servers highly energy efficient. On the other hand, there exists a trade-off between the energy consumption and the Quality of Experience offered. We have contributed to develop a methodology to guarantee the expected level of QoE, with the minimization of the energy consumed by the various Multimedia data centers by formulating an optimization objective and thereby making optimal decisions. The methodology is self-adaptive and works according to the dynamic changes in the multimedia cloud environment. The approach has been implemented practically and carefully analysed.