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计算机网络和信息集成教育部重点实验室学术报告
发布日期:2017-7-12     发布者:刘肖凡     浏览次数:4262

应肖卿俊博士邀请,美国佛罗里达大学的陈世刚教授将来访学院并作报告。
 
报告题目:Sketching Big Network Data
报告人:陈世刚教授,IEEE Fellow, University of Florida
 
报告时间:2017年8月8日上午10:00
报告地点:东南大学九龙湖校区计算机楼213会议室
 
报告内容:
The Internet has moved into the era of big network data. It presents both opportunities and technical challenges for traffic measurement functions, which have important applications in intrusion detection, resource management, billing and capacity planning, as well as big data analytics. Due to the practical need of processing network data in high volume and at high speed, past research has strived to reduce the memory and processing overhead when measuring a large number of flows. One important thread of research in this area is based on sketches. Each sketch requires multiple bits and many sketches are needed for each flow, which results in significant space overhead. In this talk, we present a new branch of virtual sketches research that summarizes big network data into extraordinarily small size. The new methods compress big data into a space of less than 1 bit per flow. Yet they allow extraction of per-flow statistics from such a small summary with good accuracy. We also show how this virtual-sketch research can be extended along space/time/function/application dimensions.

报告人简介:
Dr. Shigang Chen (sgchen@cise.ufl.edu) is a professor with Department of Computer and Information Science and Engineering at University of Florida. He received his B.S. degree in computer science from University of Science and Technology of China in 1993. He received M.S. and Ph.D. degrees in computer science from University of Illinois at Urbana-Champaign in 1996 and 1999, respectively. After graduation, he had worked with Cisco Systems for three years before joining University of Florida in 2002. He served as CTO for Chance Media Inc. during 2012-2014. His research interests include computer networks, Internet security, wireless communications, and distributed computing. He published more than 190 peer-reviewed journal/conference papers. He received IEEE Communications Society Best Tutorial Paper Award and NSF CAREER Award. He holds 12 US patents. He served as an editor for IEEE/ACM Transactions on Networking and a number of other journals. He served in various chair positions or as committee members for numerous conferences. He holds University of Florida Research Foundation Professorship and University of Florida Term Professorship in 2017-2020. He is a Fellow of IEEE, and ACM Distinguished Scientist, and a Distinguished Lecturer of IEEE Communication Society.