报告问题：Resource Scheduling and Optimization in Computing and Industrial Control Systems

中文问题：盘算机和工业控制系统中的资源调理与优化

报告人：Prof Yu-Chu Tian, Professor of Computer Science, School of Electrical Engineering and Computer Science, Queensland University of Technology, Australia

报告摘要：

Depending on specific requirements, a computing or industrial control system can be designed and implemented in different ways. Nevertheless, it can be investigated theoretically from resource scheduling and optimization perspectives. In this talk, we start with a discussion on a cloud computing scenario for quality-of-service provisioning. Then, we introduce energy-efficient data center management through meta-heuristics. After that, we further discuss smart grid control with a requirement of low-latency communication support. The talk comes with background information, theoretical insights and practical considerations of all these discussed scenarios.

Bio of the speaker:

Dr Yu-Chu Tian is a professor of computer science at the School of Electrical Engineering and Computer Science at Queensland University of Technology in Australia. He received the PhD degree from the University of Sydney in 2009, and the PhD degree from Zhejiang University in 1993. 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, 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, smart grid, and control systems. He is the editor-in-chief of Springer's Handbook of Real-Time Computing.