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Bridging the Gap between QoE and QoS in Congestion Control - A Large-scale Mobile Web Service Perspective

Offered By: USENIX via YouTube

Tags

USENIX Annual Technical Conference Courses Reinforcement Learning Courses Congestion Control Courses Algorithm Optimization Courses

Course Description

Overview

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Explore a conference talk from USENIX ATC '23 that delves into improving mobile web service performance through innovative congestion control techniques. Learn about Floo, a novel QoE-oriented congestion control selection mechanism designed to bridge the gap between Quality of Experience (QoE) and Quality of Service (QoS). Discover how this approach targets request completion time as a QoE metric and utilizes reinforcement learning to optimize congestion control algorithm selection in real-time. Gain insights into the implementation of Floo in a popular mobile web service application and its impressive results, demonstrating QoE improvements ranging from 14.3% to 52.7% in various network conditions.

Syllabus

USENIX ATC '23 - Bridging the Gap between QoE and QoS in Congestion Control: A Large-scale Mobile...


Taught by

USENIX

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