学术报告:Data Reduction in The Era of Big Data: Challenges and Opportunities

报告题目:Data Reduction in The Era of Big Data: Challenges and Opportunities

主讲:Prof. Hong Jiang

日期:2017 年6 月17日 (周六)

时间:上午10点半-11点半

地点:中山大学东校区超算中心1楼会议室

主持:肖侬 教授

 

摘要:

Abstract: —We are living a rapidly changing digital world where we are inundated by an ocean of data that is being generated at a rate of 2.5 billion GB every single day! It is projected that by 2017 humans will have generated 16 trillion GB digital data. This phenomenal growth and ubiquity of data has ushered in an era of “Big Data”, which brings with it new challenges as well as opportunities. In this talk, I will first discuss big data challenges facing and opportunities for computer and storage systems research, with an emphasis on challenges and research questions brought on by the almost unfathomable volumes of data, namely, research questions dealing with data reduction in face of big data. I will then present some recent solutions proposed by my research group that seek to address the performance and space issues facing big data and data-intensive applications by means of data reduction.

 

报告人简介:

Hong Jiang received the B.S. degree in Computer Engineering in 1982 from Huazhong University of Science and Technology, Wuhan, China; the M.A.Sc. degree in Computer Engineering in 1987 from the University of Toronto, Toronto, Canada; and the PhD degree in Computer Science in 1991 from the Texas A&M University, College Station, Texas, USA. He is currently Chair and Wendell H. Nedderman Endowed Professor of Computer Science and Engineering Department at the University of Texas at Arlington. Prior to joining UTA, he served as a Program Director at National Science Foundation (2013.1-2015.8) and he was at University of Nebraska-Lincoln since 1991, where he was Willa Cather Professor of Computer Science and Engineering. His present research interests include computer architecture, computer storage systems and parallel I/O, high-performance computing, big data computing, cloud computing, performance evaluation. He has graduated 16 Ph.D. students who now work in either major IT companies or academia. He has over 200 publications in major journals and international Conferences in these areas. Dr. Jiang is a Fellow of IEEE, and Member of ACM.