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Intelligent Resource Management for Computation Offloading and Content Proactive Caching in Edge Computing

Time: Jun 10, 2019

地址 1012 meeting roomof North Campus 事件时间: 2019-06-12 10:00:00


Intelligent Resource Management for Computation Offloading   and Content Proactive Caching in Edge Computing


Professor   Jun Cai


2019-06-12 10:00:00


1012 meeting roomof North Campus

Lecturer    Profile

Jun Cai received the Ph.D. degree in   electrical engineering from the University of Waterloo, Canada, in 2004. From   2004 to 2006, he was a Natural Sciences and Engineering Research Council of   Canada (NSERC) Post-Doctoral Fellow with McMaster University, Canada. Between   2006 and 2018, he had been with the Department of Electrical and Computer   Engineering, University of Manitoba, Canada, where he was a full Professor.   Since 2019, he joined Concordia University, Canada, as PERFORM Centre   Research Chair and a full Professor. His current research interests include   mechanism design, game theory, queueing theory, machine learning, and their   applications in different wireless communication networks including edge   computing, IoT, 5G and beyond, and e-health. He has contributed over 130   published papers in top journals and international conferences. He received   the Best Paper Award from Chinacom in 2013, the Rh Award for outstanding   contributions to research in applied sciences from the University of Manitoba   in 2012, and the Outstanding Service Award from the IEEE Globecom in 2010. He   served as a TPC Chairs for many conferences, including IEEE VTC-Fall 2019   Radio Access Technology and Heterogeneous Networks, IEEE GreenCom 2018, IEEE   CCECE 2017 Communications and Networks Track, Chinacom 2013 Workshop on M2M   Communications, IEEE VTC-Fall 2012 Wireless Applications and Services Track,   IEEE Globecom 2010 Wireless Communications Symposium, and IWCMC 2008 General   Symposium. He served on the Editorial Board for Wireless Communications and   Mobile Computing and IET Communications. He was the Chair of IEEE   Communications Society Chapter IEEE Winnipeg Section.

Lecture    Abstract

 In this talk, the speaker will go over   the resource management issues involved in developing an effective and   efficient edge computing system and a plethora of advanced techniques he has   developed in recent years. Particular emphases will be put on computation   task offloading (uplink) and content proactive caching (downlink) with the   consideration of human/machine intelligence. After presenting the procedure,   design challengesfor edge computing, the speaker will explain how the newly   developed techn, and objectives iques can achieve high network efficiency   (social welfare maximization), ensure the fulfillment of desired   quality-of-service (QoS) and prevent any untruthful strategic behaviors from   smart mobile users. Three examples of his work will be discussed in some   depth, which are designed to support distributed decision making,   delay-sensitive task offloading, and social-aware proactive caching.