An adaptive QoS management framework for VoD cloud service centers

Abstract

As cloud computing grows rapidly and Video-on-Demand (VoD) services becomes popular, it is critical and important to provide Quality of Service (QoS) to more customers under limited resources. To address this issue, we propose an adaptive QoS management framework for VoD cloud service centers. We present the architecture of the service center and then illustrate the QoS controlling process. To enhance the total revenue of the service provider, we define an optimization problem considering the charging model according to “pay-as-you-go” patterns. The QoS-aware Cache Replacement algorithm is then developed and described. Experiment results based on a prototype system and simulation tools demonstrate that the total revenue can be remarkably increased, because the QoS metrics of different classes of users could be guaranteed under varying workload and restricted resources.