IEEE Conferences

EDGE 2021 - Keynote 5
Xuanzhe Liu, Peking University
December 18, 6:00 - 6:40 UTC; 14:00 - 14:40 Beijing Time

Building Resource-Adaptive Intelligent Software Systems

With the fast deployment and wide coverage of networks, software systems play the increasingly important role to interconnect the information space, physical space, and human society. The advanced machine learning techniques have been increasingly important core components in modern software systems and them more resource adaptive and intelligent. It leaves huge space for system researchers and practitioners to invent new architectures, abstractions, and technologies. Currently, such systems are typically “centralized”, i.e., collecting a large volume of data from millions or billions of client devices onto the cloud and performing the analytics. However, we argue that the centralized fashion may not be always adequate for all application scenarios, given the increasing capability of mobile/IoT devices, wide deployment of edge appliances, and especially concerns of data privacy. In this talk, we envision some recent trends of making intelligence more “ubiquitous” out of only the cloud. We will talk about the key technologies that can drive the trend, including the programming model, containers, collaborative learning, and so on.

Prof. Xuanzhe Liu is currently the Vice Director for Institute of Software, Peking University. His interests are in the areas of systems software. He has published over 70 referred papers in prestigious conferences like WWW, ICSE, FSE MobiCom, MobiSys, etc., and peer-reviewed journals like ACM TOSEM/TOIS and IEEE TSE/TMC, etc. He received the Best Paper Awards from WWW 2019, ICSS 2010, CyberC 2009. He was recognized as the Young Scientist Award that was co-awarded by China Computer Federation (CCF) and IEEE Computer Society, the Rising Star Award of IEEE Technical Committee on Services Computing, and so on. He served regularly as TPC member on WWW, ICSE, KDD, CIKM, and so on, and was recognized as the Best PC Award of WWW 2021. He was recognized as the “Most Respected and Esteemed Teacher” in 2019, which was completely voted by the students from Peking University, and the Teaching Excellence Award of Peking University in 2021.