Controlling Congestion via In-Network Content Adaptation

Chen, Yongzhou; Tahir, Ammar; Mittal, Radhika

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https://hdl.handle.net/2142/115965 Copy

Description

Title

Controlling Congestion via In-Network Content Adaptation

Author(s)

• Chen, Yongzhou
• Tahir, Ammar
• Mittal, Radhika

Issue Date

2022-09

Keyword(s)

• Computer Science
• Communication
• Data Transport
• Congestion Control

Abstract

Realizing that it is inherently difficult to match precisely the sending rates at the endhost with the available capacity on dynamic cellular links, we built a system, Octopus, that sends real-time data streams over cellular networks using an imprecise controller (that errs on the side of overestimating network capacity) and then drops appropriate packets in the cellular-network buffers to match the actual capacity. We designed parameterized primitives for implementing the packet-dropping logic, which the applications at the endhost can configure differently to express various content-adaptation policies. Octopus transport encodes the app-specified parameters in packet header fields, which the routers can parse to execute the desired dropping behavior. Our evaluation shows how real-time applications involving standard and volumetric videos can be designed to exploit Octopus for various requirements and achieve a performance that is 1.5 to 18 times better than state-of-the-art schemes.

Publisher

Illinois Center for Transportation

Series/Report Name or Number

I-ACT-21-01

Type of Resource

text

Language

en

Copyright and License Information

No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161.

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