Optimization of Multicast Routing for Smart Grid Control Systems

昆士兰大学计算机科学终身教授 田玉楚教授学术报告


时间:2018年12月20日(周四),下午2:00-3:00
地点:研究生楼906
题目:Optimization of Multicast Routing for Smart Grid Control Systems


摘要:
Smart grid control is highly time-critical and thus requires support of low-latency data communications. This leads to the consideration of multicast routing in both wide area networks (WANs) and neighbourhood area networks (NANs). To build a multicast routing system is basically to build a multicast tree in a single source scenario or multiple multicast trees in a multiple source environment. In this talk, we will discuss our recent theoretical research on building a single multicast tree and multiple multicast trees for constrained optimization of end-to-end communication delay in WANs of smart grid. We will also discuss our theoretical complex network model for building and analyzing NANs in smart grid.


报告人介绍:
Professor Yu-Chu Tian, computer scientist and Australia Research Council (ARC) recognized expert of international standing. He is a professor of computer science at the School of Electrical Engineering and Computer Science at Queensland University of Technology in Australia. Prof Tian received the PhD degree from Zhejiang University in 1993 and the PhD degree from the University of Sydney in 2009. He worked in a number of universities in the mainland of China, Hong Kong, USA and Australia. Since 2002, he has been with Queensland University of Technology in Brisbane, Australia, initially as a Lecturer and Senior Lecturer, later as an Associate Professor and Head of Discipline of Networks and Communications, and currently as a Professor. He has published a monograph and over 200 refereed papers. His current research interests include big data, distributed computing and cloud computing, computer networks, real-time systems, systems engineering, and control theory and engineering. He is the editor-in-chief for Springer’s Handbook of Real-Time Computing, an Associate Editor for a few international journals.



网页发布时间: 2018-12-20