Supercharge analytics over large IoT data: an OS approach
Felix Xiaozhu Lin
Thursday, April 18, 2019|
12:30pm - 1:30pm
Add to Google Calendar
About the Event
This talk overviews our inquiry in systems software for taming large IoT data. I will describe two systems that target two crucial, complementary analytics paradigms: a data engine for processing large telemetry streams (hot data); a data store for querying large archival videos (cold data). The two systems exploit emerging hardware (e.g. 3D-stacked DRAM) as well as emerging workloads (e.g. neural networks). Both systems advance the state-of-the-art performance by orders of magnitude.
Felix Xiaozhu Lin is an assistant professor of Purdue ECE. He received PhD in CS from Rice and BS/MS from Tsinghua. At Purdue, he leads the Xroads systems exploration lab (XSEL) to accelerate and safeguard important computing scenarios. He and his students measure and build systems software with diverse techniques, including novel OS structures, kernel subsystem design, binary translation, and user-level runtimes. See http://xsel.rocks for more information.
Contact: Stephen Reger
Sponsor(s): Systems Lab
Faculty Sponsor: Professor Morley Mao
Open to: Public