[Colloquium] Ted Shao Candidacy Exam/Mar 11, 2024

[Megan Woodward]

This is an announcement of Ted Shao's Candidacy Exam.
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Candidate: Ted Shao

Date: Monday, March 11, 2024

Time:  2 pm CST

Location: JCL 298

Remote Location:  https://uchicago.zoom.us/j/94195395589?pwd=UnVNdi9KL21aUDFGVWk2V2RRa2lBZz09<https://urldefense.com/v3/__https://uchicago.zoom.us/j/94195395589?pwd=UnVNdi9KL21aUDFGVWk2V2RRa2lBZz09__;!!BpyFHLRN4TMTrA!_FJBnPmKIGkYaDPErzuldszYk4mjhsCk40uGw1e4ClmDHqYiuThblLBG66bR3wIEp6XcT4s76ITMbmqV6WHWmwPZGqY$>

Title: StreamServe: Low-Latency Decision Making over Distributed Data Streams

Abstract: The relevant features for a machine learning task may arrive as one or more continuous streams of data. Serving machine learning models over streams of data creates a number of interesting systems challenges in managing data routing, time-synchronization, and rate control. This paper presents StreamServe, a distributed streaming system that can serve predictions from machine learning models in real time. We evaluate StreamServe on three streaming prediction tasks: (1) human activity recognition, (2) autonomous driving, and (3) network intrusion detection.

Advisors: Sanjay Krishnan

Committee Members: Michael Franklin, Sanjay Krishnan, and Nick Feamster
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