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学术讲座通知:Big Graph Analytic Systems and Applications for Internet of Things

发布时间:2017-07-10 10:42  浏览:437次

       应网络与交换技术国家重点实验室程渤教授的邀请,美国佐治亚理工学院Ling Liu教授将于7月12日来北京邮电大学作学术报告。欢迎校内广大师生踊跃参加。

讲座题目:Big Graph Analytic Systems and Applications for Internet of Things

主讲人:Ling Liu教授

主持人:程渤

时间:2017712日(星期三)上午9:3011:30

地点:新科研楼602会议室

Abstract

Big graphs are finding increasing applications in many science and engineering domains, such as Internet of Things, computational biology, cybermanufacturing and social media. Graphs provide a very flexible mathematical abstraction for describing relationships between entities in complex systems. Real world graphs are characterized by high connectivity and high irregularity. In this talk, I will first examine graph analytics models and algorithms for reasoning over multi-tiers of semantic networks in many systems and applications of Internet of Things.  Then I will elaborate on the technical challenges of scaling large scale graph analytics, and advocate the design of a methodical framework for support high performance graph parallel abstractions that are resource aware, composable and programmable. I will conclude the talk by presenting some interesting research problems and unique opportunities for high performance, large scale graph processing.

Bio

Ling Liu is a Professor in the School of Computer Science at Georgia Institute of Technology. She directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining various aspects of large scale data intensive systems, including performance, availability, security and privacy. Prof. Liu is an elected IEEE Fellow, a recipient of IEEE Computer Society Technical Achievement Award in 2012. She has published over 300 international journal and conference articles and is a recipient of the best paper awards from a number of top venues, including ICDCS 2003, WWW 2004, 2005 Pat Goldberg Memorial Best Paper Award, IEEE Cloud 2012, IEEE ICWS 2013, ACM/IEEE CCGrid 2015. In addition to serving as general chair and PC chairs of numerous IEEE and ACM conferences in the fields of big data, cloud computing, data engineering, distributed computing, very large databases, Prof. Liu has served on editorial board of over a dozen international journals, including the editor in chief of the IEEE Transactions on Services Computing (2013-2016) and a member of IEEE Big Data Initiative. Prof. Liu’s current research is primarily sponsored by NSF, IBM and Intel.

 

 

网络与交换技术国家重点实验室

2017年7月10 日