Bio: Hong Shen is currently a specially-appointed Professor in Sun Yat-sen University. He was Professor (Chair) of Computer Science in the School of Computer Science, University of Adelaide. He received his B.Eng. degree from Beijing University of Science and Technology, M.Eng. degree from University of Science and Technology of China, Ph.Lic. and Ph.D. degrees from Abo Akademi University, Finland, all in Computer Science. He has extensive academic experiences internationally including 10 years service at Griffith University (Australia) from Lecturer to Professor and 5 years service at the Japan Advanced Institute of Science and Technology (JAIST) as Professor and Chair of the Computer Networks Laboratory. He received numerous honours and awards at institutional, ministerial and national levels, and served as a guest professor on various visiting appointments in USA, UK, Hong Kong and China. With main research interests in parallel and distributed computing, algorithms, high performance networks, privacy and security, data mining and multimedia systems, he has published more than 400 papers, including over 100 papers in major journals such as a variety of IEEE and ACM Transactions.
Hong has received over 10 research grants, including national competitive grants from the Ministry of Science and Technology of China, Australian Research Council (ARC), Natural Science Foundation of China (NSFC), Japan Society for Promotion of Sciences (JSPS) and Japan Ministry of Education, Culture, Sports, Science and Technology (MEXT). He has been an editor/associate editor /editorial-board member for 10 international journals; chaired numerous international conferences. He is the co-recipient of National Education Commission Science and Technology Progress Award and Chinese Academy of Sciences Natural Sciences Award.
Speech Title: Job Scheduling in Cloud Data Center Networks
Abstract: Driven by the booming demands of large-scale applications, advanced computing in cloud data center networks is evolving to be a major paradigm of high-performance computing for data processing and analysis. A data center network is composed of a massive number of servers connected by an interconnection network, and multiple geographically dispersed data centers are connected by a dedicated center network of ultra-high bandwidth. Access to data centers from office and personal computing devices is provided through an edge network in a cloud environment that supports ubiquitous on-demand submission of client jobs in addition to data collection, local processing and outsourcing. Job scheduling in a cloud data center network is critical for improving the service capability of the data center network in terms of reducing operation cost and increasing profit. This talk addresses the problem of job scheduling in cloud data center networks to minimize operation cost and maximize reward (profit) in the levels of data center and servers respectively. I will first overview some recent developments in high-performance computing in data center networks. Then, I will discuss job scheduling in the data center level with the focus on minimizing energy cost which is the dominating factor in a data center's operation cost, and show our recent work on job scheduling with performance guarantee in data centers on multi-source energy supply under the given green degree constraint (carbon emission cap) for environment protection. Next, I will move down to the sever level and present our work on solving the bounded flexible scheduling problem with performance guarantee to schedule jobs with bounded deadlines and parallelism degrees on a given set of data center servers. Finally I will conclude the talk by showing some of our on-going projects and work in this direction.
Prof. Haibin Zhu
Chair, Founding Director of Collaborative Systems Laboratory
Nipissing University, Canada
Bio: Dr. Haibin Zhu is a Full Professor, the Chair of the Department of Computer Science and Mathematics, and the Founding Director of Collaborative Systems Laboratory, Nipissing University, Canada. He received M.S. (1988) and Ph.D. (1997) degrees in computer science from the National University of Defense Technology (NUDT), China. He was a visiting professor and a special lecturer in the College of Computing Sciences, New Jersey Institute of Technology, USA (1999-2002) and a lecturer, an associate professor and a full professor at NUDT (1988-2000). He has accomplished over 200 research works, including over 20 IEEE Transactions articles, five books, five book chapters, three journal issues, and three conference proceedings. He is a senior member of IEEE and is serving and served as co-chair of the technical committee of Distributed Intelligent Systems of IEEE SMC Society, Associate Editor (AE) of IEEE Transactions on Systems, Man and Cybernetics (SMC): Systems, IEEE Transactions on Computational Social Systems, and IEEE SMC Magazine, and IEEE Canada Review. He is the founding researcher of Role-Based Collaboration and Adaptive Collaboration. His research has been being sponsored by NSERC, IBM, DRDC, and OPIC. He is the receipt of the meritorious service award from IEEE SMC Society (2018).