New Jersey Institute of Technology - USA
Keynote presentation on Thursday, Oct.10
Intelligent Task Scheduling for Distributed Green Cloud Data Centers
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-required 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 arrival 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 from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. 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, cloud computing, and intelligent transportation. He has over 800 publications including 12 books, 460+ journal papers (360+ in IEEE transactions), 12 patents and 28 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering, Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica, and Associate Editor of IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal. He is also VP for Conferences and Meetings of IEEE Systems, Man and Cybernetics Society. He has been among most highly cited scholars for years and ranked top one in the field of engineering worldwide in 2012 by Web of Science/Thomson Reuters and now Clarivate Analytics. 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, and Distinguished Service Award from IEEE Robotics and Automation Society. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. 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).