报告题目:High-Performance Computing for Big Data Applications in Data Center Networks
报告人:沈鸿教授
报告时间:2018年12月28日上午9:30—11:30
报告地点:数计学院4号楼229会议室
报告摘要:Driven by the demands of explosive big data applications, big data computing across geographically dispersed data centers is evolving to be a major paradigm for high-performance big data analytics. A data center network is composed of a dedicated center network (CN) of ultra-high bandwidth that interconnects multiple data centers, each containing a massive number of servers, and an edge network (EN) that connects the CN to edge servers through the Internet. While the CN provides high-performance distributed computing on an ultra-large scale in both parallelism and geographical span, the EN supports real-time data supply from heterogeneous sources of data collection, transmission and outsourcing, and as well as ubiquitous on-demand client access. In this talk, I will first introduce the architecture and new features of big data computing in data center networks, and discuss the current research status in different levels of the computing system in response to three big challenges - efficiency, reliability and security. I will then show the research opportunities in this forefront of advanced computing and communication by illustrating some relevant work done within my research group. Finally I will conclude the talk by displaying our on-going work and future research in this direction. .
报告人简介:Hong Shen is a specially-endowed professor in Sun Yat-sen University, China. He received the 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 held positions of Professor (Chair) of Computer Science in University of Adelaide, Australia, since 2006, Professor and Chair of Computer Networks Laboratory in Japan Advanced Institute of Science and Technology (JAIST) 2001-2006, and Professor (Chair) of Computer Science in Griffith University, Australia, where he taught 9 years since 1992. With main research interests in parallel and distributed computing, algorithms, data mining, privacy preserving computing and high performance networks, he has led numerous research centers and projects in different countries. He has published 300+ papers including over 100 papers in international journals such as a variety of IEEE and ACM transactions. Prof. Shen received many honors, awards, professorial and executive appointments, and served on different roles in professional societies, journal editorial boards and conference organizations