Optimal Sleeping Policies for Energy-Efficient Service with Bursty Traffic
随着科技的发展及数字化世界的扩张，信息与通信系统的能耗问题受到广泛关注。对于各种信息与通信系统，让空闲服务器进入休眠状态被认为是降低能源消耗的重要方法。先前的研究仅针对非突发流量情况制定单服务器队列的最佳休眠策略。在本期讲座中，我们将介绍突发流量情况下单服务器或多服务器队列的最佳休眠策略，并对其中的关键因素展开介绍，例如切换能耗和延迟损失。
第十一期AIRS-TNSE联合杰出讲座系列活动，我们有幸邀请到清华大学的牛志升教授介绍突突发流量情况下单服务器或多服务器队列的最佳休眠策略，并分享他在这个领域内的相关研究成果与有趣发现。
AIRS-TNSE Joint Distinguished Seminar Series is co-sponsored by IEEE Transactions on Network Science and Engineering (TNSE) and Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), with joint support from The Chinese University of Hong Kong, Shenzhen, Network Communication and Economics Laboratory (NCEL), and IEEE. This series aims to bring together top international experts and scholars in the field of network science and engineering to share cutting-edge scientific and technological achievements.
Join the seminar through Bilibili (http://live.bilibili.com/22587709).
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Jianwei HuangVice President, AIRS; Presidential Chair Professor, CUHK-Shenzhen; Editor-in-Chief, IEEE TNSE; IEEE Fellow; AAIA FellowExecutive Chair -
Zhisheng NiuProfessor at the Department of Electronic Engineering,Tsinghua Universlty; Chair of Emerging Technologies Committee, lEEE Communications Society; lEEE Fellow; lElCE (Japan) FellowOptimal Sleeping Policies for Energy-Efficient Service with Bursty Traffic
牛志升，清华大学电子工程系教授，于1985年毕业于中国北京交通大学，分别于1989年和1992年获得丰桥技术科学大学的硕士和博士学位。1992-1994年，他曾在日本富士通研究院工作。1994年，他加入清华大学，担任电子工程系教授。1997-1998年，他担任日立中央研究实验室的HIVIPS高级研究员。他的主要研究兴趣包括排队论和流量工程、无线通信和移动互联网、车载通信和智能网络、绿色通信和网络。牛志升教授自2000年以来一直在IEEE通信学会中担任职务，先后担任北京分会主席、亚太区董事会主任、会议出版物主任、新兴技术委员会主席、在线内容主任，目前再次担任新兴技术委员会主席。他也曾担任IEEE Wireless Communication编辑、IEEE/CIC合作出版物《China Communications》副主编、IEEE Trans. Green Commun. & Networks主编。他于2009年获得中国自然科学基金杰出青年研究员奖，2013年获得IEEE通信学会亚太区董事会最佳论文奖，2019年获得《Journal of Communications and Information Networks (JCIN)》最佳论文奖，2018年获得IEEE通信学会绿色通信与计算技术委员会杰出技术成就奖，2019年获得IEEE通信学会会议与会议服务杰出贡献奖（Harold Sobol Award for Exemplary Service to Meetings & Conferences）。他还被选为IEEE通信学会和IEEE车辆技术学会的杰出讲师，并获得IEEE和IEICE（日本电子信息通信学会）的会士称号。
Making idle servers sleep is considered to be a key approach to reduce energy consumption of various information and communication systems. Optimal sleeping policies for a single-server queue has been derived only for non-bursty traffic in prior work. In this talk, for the first time, we study the optimal sleeping policies for single-server or multi-server queues with bursty traffic. Key factors including switch-over energy consumption as well as delay penalty are considered. We formulate the problem as a POMDP (partially observable Markov decision process) and show that the optimal sleeping policy is a two-threshold policy with wait-and-see property. Simulation results show the effectiveness of the policy and also demonstrate that traffic burstiness can help to enhance the system performance in terms of weighted sum of the energy-efficiency and delay.
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