[CS] Yuyang Huang Master Exam / September 16th,2024

[Devin Davis via cs]

This is an announcement of Yuyang Huang Masters Exam
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Candidate: Yuyang Huang

Date: Monday, September 16th, 2024

Time:  10:00am -11:00am CT

Remote Location: https://uchicago.zoom.us/j/96022687230?pwd=pvkzHZu6hNCi1y7SVV6NBn6wNenDbM.1<https://www.google.com/url?q=https://uchicago.zoom.us/j/96022687230?pwd%3DpvkzHZu6hNCi1y7SVV6NBn6wNenDbM.1&sa=D&source=calendar&ust=1725890337115490&usg=AOvVaw0j1VwhsOp9xrm3vxXj309T>

Title:  Concierge: Towards Accuracy-Driven Bandwidth Allocation for Video Analytics Applications in Edge Network

Abstract: When performing inference on sensor data, edge video analytics applications may not always need high-fidelity data, since important information may not appear all the time. Consequently, each edge AI application’s bandwidth demand is highly dynamic. Thus, a shared edge system should dynamically allocate more bandwidth to the applications in need to reach high accuracy at each moment. However, previous bandwidth allocators are ill-suited because they are agnostic to the time varying impact of bandwidth on each application’s accuracy. We explore a new accuracy-driven approach to bandwidth allocation, which periodically re-allocates bandwidth across edge AI applications based on the sensitivity of each application’s accuracy to its bandwidth share. To examine its practical benefit and technical challenges, we present a concrete accuracy-driven bandwidth allocator called Concierge, which exposes a simple yet efficient interface to estimate each application’s sensitivity to a small change in its bandwidth share. We run Concierge on state-of-the-art video-analytics applications with real video streams and show its early promise in greatly improving the inference accuracy of video analytics.

Advisors:  Prof. Haryadi Gunawi

Committee Members: Junchen Jiang, Changho Huang, Haryadi Gunawi







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