||Ph.D. & Distinguished Professor
Fellow of IEEE, IFAC, AAAS and CAA
The Helen and John C. Hartmann Department of Electrical and Computer Engineering
New Jersey Institute of Technology, Newark, NJ 07102, USA
||2019 年 11 月 3 日（星期日）上午 9：40-10：50
||邯郸校区逸夫楼 407 室
More and more applications, e.g., e-commerce and social networking, run in cloud data centers (e.g., Amazon and Google). Minimizing the consumption of electric power and thus energy cost while maintaining their user-desired performance has now become an increasingly important focus of attention. The consumption of power boosts data centers’ cost. Brown energy consumption negatively impacts our environment. Requirements from environmental protection demand the reduced use of brown energy, especially that from coal. Hence, most large cloud data centers prefer renewable energy sources such as wind and solar energy. Can we exploit the characteristics of the geographical distribution in real-life environment to schedule tasks intelligently? This talk answers it by focusing on intelligent optimization methods. It introduces emerging progress made in this field and emerging challenges on how to realize various cost-effective task scheduling methods for cloud data centers, including: 1) traditional methods for task scheduling and dynamic resource allocation; 2) existing task prediction and machine learning-based prediction methods; 3) spatial task scheduling and resource provisioning for cost minimization for cloud data center providers; 4) temporal-spatial task scheduling for profit maximization in hybrid cloud computing systems; and 5) open research problems, directions and outlooks for future studies.
MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a Distinguished Professor of Electrical and Computer Engineering. His research interests are in Petri nets, intelligent automation, Internet of Things, big data, web services, and intelligent transportation. He has over 800 publications including 12 books, 500+ journal papers (400+ in IEEE transactions), 12 patents and 29 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering and Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is VP for Conferences and Meetings, IEEE Systems, Man and Cybernetics Society. He is a Fellow of The Institute of Electrical and Electronics Engineers (IEEE), International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS) and Chinese Association of Automation (CAA).