Network Measurement at Scale
|Title:||Network Measurement at Scale|
|Date:||November 02, 2018 (Friday)|
|Time:||4:00 pm - 5:00 pm|
|Venue:||Room 121, 1/F, Ho Sin-hang Engineering Building, The Chinese University of Hong Kong, Shatin, N.T.|
|Speaker:|| Prof. Patrick P. C. Lee
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Operators heavily rely on network measurement to characterize traffic statistics for effective network management. However, network measurement remains a missing piece in today's enterprise and data center networks. On one hand, achieving timely and accurate network measurement is necessary; on the other hand, measurement tasks unavoidably add performance overhead to the packet processing pipeline. In this talk, I will present two novel sketch-based designs that enable space-efficient, high-performance, accurate, and practical network measurement at large scale. I will present SketchVisor, a framework that maintains high performance of general sketch-based measurement tasks by opportunistically offloading measurement to a fast path. Then I will present SketchLearn, an automated self-learning sketch design that requires limited configuration burdens from operators while maintaining high performance and high accuracy in network measurement.
Patrick P. C. Lee is now an Associate Professor of the Department of Computer Science and Engineering at the Chinese University of Hong Kong. He now heads the Applied Distributed Systems Lab and is working very closely with a group of graduate students on different projects in networks and systems. His research interests are in various applied/systems topics including storage systems, distributed systems and networks, cloud computing, dependability, and security.
Enquiries: Ms. Crystal Tam at tel. 3943 8439
For more information, please refer to http://www.cse.cuhk.edu.hk/en/events
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