文献类型：会议论文

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]McGill Univ, Sch Comp Sci, Montreal, PQ H3A 2T5, Canada;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Hefei, Anhui, Peoples R China;[3]Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China

会议论文集：ACM International Conference on Multimedia (ACM Multimedia)

会议日期：OCT 26-30, 2015

会议地点：Brisbane, AUSTRALIA

语种：英文

外文关键词：Datacenter; video streaming; bandwidth allocation; quality of experience; energy cost

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.