会议专题

An Adaptive QoS Management Framework for VoD Cloud Service Centers

As cloud computing grows rapidly and Video-onDemand (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-asyou-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.

cloud computing VoD service QoS management streaming media

Xiaoying Wang Zhihui Du Xiaojing Liu Hui Xie Xuhan Jia

Department of Computer Technology and Application, Qinghai University Xining, Qinghai, China, 810016 Tsinghua National Laboratory for Information Science and Technology Department of Computer Science a Department of Computer Technology and Application, Qinghai University Xining, Qinghai, China, 810016

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

527-532

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)