Prof. Hong Shen (Chair)
Sun Yat-sen University , China
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. Yonghui Li
ARC Future Fellow, IEEE Fellow
The University of Sydney, Australia
Bio: Yonghui Li received his PhD degree in November 2002. Since 2003, he has been with the Centre of Excellence in Telecommunications, the University of Sydney, Australia. Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of theAustralian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 andARC Future Fellowship in 2012. He is an IEEE Fellow for contributions to cooperative communications technologies.
His current research interests are in the area of wireless communications, with a particular focus on IoT, machine to machine communicaitons, MIMO, millimeter wave communications, channel coding techniques, game theory, machine learning and signal processing. Li holds a number of patents granted and pending in these fields.
Professor Li is an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received the best paper awards from IEEE International Conference on Communications (ICC) 2014, IEEE PIMRC 2017, and IEEE Wireless Days Conferences (WD) 2014. He has published one book, more than 160 papers in premier IEEE journals and more than 100 papers in premier IEEE conferences. His publications have been cited more than 8000 times, with an h-index of 42. Six of his papers have been included as ISI high cited papers by ESI Web of Science, defined as top 1% of papers in the field. Several of his papers have been the top most 10 most cited papers in the respective journals since the year it was published.
Li has attracted more than $6 million in competitive research funding over the past 10 years, including 10 ARC grants. He has participated in $500 Millions Australia national demonstration project “Smart Grid Smart City” and designed last mile access networks. He is the founder and director of IoT undergraduate major at the University of Sydney.
Prof. Xiaodong Liu
Head of Intelligence-Driven Software Engineering Research Group
Edinburgh Napier University, UK (SMIEEE, FHEA)
Prof. Haibin Zhu
Chair, Founding Director of Collaborative Systems Laboratory
Nipissing University, Canada