The Chinese University of Hong Kong
Department of Computer Science and Engineering


Title: System S: Challenges and Experiences of Stream Computing
Date: May 17, 2010 (Monday)
Time: 10:30 a.m. - 11:30 a.m.
Venue: Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T.
Speaker: Dr. Kun-Lung Wu
Data-Intensive Systems and Analytics Group
InfoSphere Streams Language and Developer Tools
IBM T. J. Watson Research Center
Hawthorne, NY, USA


In this talk, we will give an overview of IBM System S, highlighting some of the challenges of and our experiences in stream computing. System S is a large-scale, distributed stream processing middleware, under development at the IBM T. J. Watson Research Center since 2003, first as a research prototype and then as a product. In May 2009, the first commercial version of System S was released as an IBM product, called InfoSphere Streams. Currently, a joint Research and Software Group team in several sites continues to develop InfoSphere Streams. In this talk, we will focus on the programming language for System S, called Streams Processing Language (SPL). We will highlight some of the important features and technical challenges of SPL, and some of our experiences in stream computing.


Kun-Lung Wu, is the Manager of the Data-Intensive Systems and Analytics Group at the IBM T. J. Watson Research Center. He is also the Development Manager of the InfoSphere Streams Language and Developer Tools Team, Information Management, IBM Software Group (SWG). The combined Research and SWG team currently engages in the product development of System S - a software platform for large-scale, distributed stream processing -- focusing on the SPL language and compiler and the SPL IDE. In addition, we explore various research issues in data-intensive systems and analytics -- including programming language and model for stream processing; advanced analytic algorithms for stream applications; job management and scheduling, resource management and system optimization for large-scale distributed systems, such as map-reduce processing and cloud computing. An IBM Master Inventor, Dr. Wu is also a Fellow of the IEEE, and a member of the ACM. From 2000 to 2004, he was an Associate Editor for IEEE Transactions on Knowledge and Data Engineering. He also served as an organizing or program committee member for many international conferences and workshops. He has received several IBM awards, including an IBM Corporate Environmental Affair Excellence Award, an Outstanding Technical Achievement Award, a Research Division Award, and many Invention Achievement Awards. He has published extensively in various journals and refereed conferences. He also holds or has applied for many patents. Dr. Wu received his B.S. degree in Electrical Engineering from the National Taiwan University, Taipei, Taiwan, in 1982 and the M.S. and Ph.D. degrees in Computer Science, both from the University of Illinois at Urbana-Champaign, in 1986 and 1990, respectively.

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