文献类型：期刊文献

英文题名：Distributed optimal datacenter bandwidth allocation for dynamic adaptive video streaming

作者：Kong, Fanxin[1]; Lu, Xingjian[1,2]; Xia, Mingyuan[1]; Liu, Xue[1]; Guan, Haibing[3]

机构：[1] School of Computer Science, McGill University, Canada; [2] School of Information Science and Engineering, East China University of Science and Technology, China; [3] Department of Computer Science and Engineering, Shang Hai Jiao Tong University, China

年份：2015

起止页码：531

外文期刊名：MM 2015 - Proceedings of the 2015 ACM Multimedia Conference

收录：EI(收录号：20161602252382)

语种：英文

外文关键词：Frequency allocation - Iterative methods - Bandwidth - Costs - Quality of service

摘要：Video streaming systems such as YouTube and Netflix are usually supported by the content delivery networks and datacenters that can consume many megawatts of power. Most existing works independently study the issues of improving quality of experience (QoE) for viewers and reducing the cost and emissions associated with the enormous energy usage of datacenters. By contrast, this paper addresses them both, and jointly optimizes the QoE, the energy cost and emissions by intelligently allocating datacenter bandwidth among different client groups. Specially, we propose a distributed algorithm for achieving the optimal bandwidth allocation. The algorithm novelly decomposes the optimization process into separate ones, which are solved iteratively across datacenters and clients. We demonstrate its convergence by both theoretical proof and experimental validation. The experimental results show that the proposed algorithm converges very fast and achieves much better QoE-cost balance than existing approaches. ? 2015 ACM.