1. Submission Deadline: May 15, 2017 June 10, 2017 2. Notification Date: June 15, 2017 July 1, 2017 3. Camera Ready: July 10, 2017 July 25, 2017 4. Registration Deadline: July 25, 2017
Invited Speech 1: Proactive serving decreases user delay exponentially: The light-tailed service time case
Speakers: Minghua Chen, The Chinese University of Hong Kong, Hong Kong
Longbo Huang, Tsinghua University, Beijing, China
Abstract: In online service systems, the delay experienced by a user from the service request to the service completion is one of the most critical performance metrics. To improve user delay experience, recent industrial practice suggests a modern system design mechanism: proactive serving, where the system predicts future user requests and allocates its capacity to serve these upcoming requests proactively. In this paper, we investigate the fundamentals of proactive serving from a theoretical perspective. In particular, we show that proactive serving decreases average delay exponentially (as a function of the prediction window size). Our results provide theoretical foundations for proactive serving and shed light on its application in practical systems.
Prof. Minghua Chen Prof. Longbo Huang
Minghua Chen received his B.Eng. and M.S. degrees from the Department of Electronic Engineering at Tsinghua University in 1999 and 2001, respectively. He received his Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California at Berkeley in 2006. He spent one year visiting Microsoft Research Redmond as a Postdoc Researcher. He joined the Department of Information Engineering, the Chinese University of Hong Kong, in 2007, where he is now an Associate Professor. He is also currently an Adjunct Associate Professor in Tsinghua University, Institute of Interdisciplinary Information Sciences. He received the Eli Jury award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the area of Systems, Communications, Control, or Signal Processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards, including the IEEE ICME Best Paper Award in 2009, the IEEE Transactions on Multimedia Prize Paper Award in 2009, and the ACM Multimedia Best Paper Award in 2012. He is currently an Associate Editor of the IEEE/ACM Transactions on Networking. He serves as TPC Co-Chair of ACM e-Energy 2016 and General Chair of ACM e-Energy 2017. His recent research interests include energy systems (e.g., smart power grids and energy-efficient data centers), intelligent transportation system, multimedia networking, wireless networking, distributed optimization, online algorithm, delay-constrained network information flow, and characterizing the benefit of data-driven prediction in algorithm/system design.
Longbo Huang is an assistant professor at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University, Beijing, China. He received his Ph.D. in EE from the University of Southern California in August 2011, and then worked as a postdoctoral researcher in the EECS dept. at University of California at Berkeley from July 2011 to August 2012.
Dr. Huang has been a visiting scholar at the LIDS lab at MIT and at the EECS department at UC Berkeley, and a visiting professor at the Chinese University of Hong Kong, Bell-labs France and Microsoft Research Asia (MSRA). He was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley in Fall 2016. Dr. Huang was selected into China’s Youth 1000-talent program in 2013, and received the outstanding teaching award from Tsinghua university in 2014. Dr. Huang has served as the lead guest editor for the JSAC special issue on “Human-In-The-Loop Mobile Networks” in 2016, and an associate editor for ACM Transactionson Modeling and Performance Evaluation of Computing Systems (ToMPECS) in 2017-2019. Dr. Huang’s current research interests are in the areas of online learning, network optimization, online algorithm design, and sharing economy.
Invited Speech 2: Longer quality-adjusted life years with less cost? — Yes, the mobile clinic operation can help
Speaker: Pengfei Guo, Hong Kong Polytechnic University, Hong Kong
Abstract: We consider a discrete-time mobile clinic (MC) delivery model and study the optimal MC implementation from the viewpoint of the government. Specifically, we consider the following three objectives: (1) cost reduction, (2) improving the quality of the adjusted life years (QALYs) of the remote population, and (3) a bi-objective optimization defined as a weighted average of the above two performance measures. Under the first objective, we characterize the optimal MC delivery policy that minimizes the long run average cost of the local public healthcare system consisting of a mobile clinic and a hospital. We show that only when the setup cost is below a threshold shall the MC service be delivered. Interestingly, the MC service is only delivered every or every other period when the disease is fast progressive.
Prof. Pengfei Guo
Pengfei Guo received his PhD degree in Business Administration from Duke University in2007. He received his B.S. in MIS from Xi'an Jiao Tong University in 1993 and M.S. in Management Science and Engineering from Shanghai Jiao Tong University in 1997. He isnow a full professor with the department of Logistics and Maritime Studies (LMS), the Hong Kong Polytechnic University. His research interests include analysis and control of service systems with strategic customers, multiple-tier supply chain management, stochastic processes, and dynamic pricing and capacity management. His research work has appeared on many top-tier journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management (POM), etc. He is now serving as a senior editor for the POM journal and is also serving as an associate head and departmental research committee chair for the LMS department of Hong Kong Polytechnic University.