学术报告:雾网络及其进展

发布者:系统管理员发布时间:2017-07-26浏览次数:26

报告人:英国Keele大学 Zhong Fan教授

时间:2017727日(星期四)下午13:30 – 15:00

地点:电信学院信通系703会议室

邀请人:刘儿兀教授


Abstract

As the Internet of things (IoT) is gathering momentum across many industrial sectors worldwide, a new computing and networking paradigm has emerged. As huge amounts of data (big data) are generated in the IoT, the so called “fog computing” or edge computing pushes analytics, knowledge generation, and decision making towards the source of the data. One reason behind this trend is that mobile devices at the network edge are now becoming more and more powerful in terms of computation capability, storage, networking, and battery life. Fog computing leverages this and moves the intelligence towards the edge in order to reduce service latency and increase QoS (quality of service). Another reason is to address privacy concerns, especially in the case where data mining algorithms leak information that requires privacy control to satisfy various requirements such as anonymization and authorization. It also enables mobile real-time analytics, decision making and load-balancing. In this talk I will discuss some of the research issues in fog networks and present our recent work on optimization of probabilistic cooperative wireless caching. I will finish by introducing an exciting new project called SEND (Smart Energy Network Demonstrator) at Keele University.


Speaker bio

About Prof. Zhong Fan: Zhong Fan is a Professor and Academic Director of SEND (Smart Energy Network Demonstrator) at Keele University, UK, where he is leading R&D of a 15M pounds project that aims to build one of Europe's largest live smart energy demonstrator on Keele campus. Before Joining Keele, he was a Chief Research Fellow with Toshiba Research Europe in Bristol, UK, leading research teams on IoT, smart energy, and 5G communications. He is an advisory board member of the IEEE Industry Community on IoT. In his early career, he worked as a Research Fellow at Cambridge University, a Lecturer at Birmingham University and a Researcher at Marconi Labs Cambridge. He was also awarded a BT Short-Term Fellowship to work at BT Labs. He earned his BS and MS degrees in EE from Tsinghua University in China and PhD from Durham University. He has authored/co-authored over 150 papers in leading international journals and conferences and holds 35 patents.