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Main Authors: Michel, Oliver, Sengupta, Satadal, Kim, Hyojoon, Netravali, Ravi, Rexford, Jennifer
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2503.11649
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author Michel, Oliver
Sengupta, Satadal
Kim, Hyojoon
Netravali, Ravi
Rexford, Jennifer
author_facet Michel, Oliver
Sengupta, Satadal
Kim, Hyojoon
Netravali, Ravi
Rexford, Jennifer
contents Video-conferencing applications face an unwavering surge in traffic, stressing their underlying infrastructure in unprecedented ways. This paper rethinks the key building block for conferencing infrastructures -- selective forwarding units (SFUs). SFUs relay and adapt media streams between participants and, today, run in software on general-purpose servers. Our main insight, discerned from dissecting the operation of production SFU servers, is that SFUs largely mimic traditional packet-processing operations such as dropping and forwarding. Guided by this, we present Scallop, an SDN-inspired SFU that decouples video-conferencing applications into a hardware-based data plane for latency-sensitive and frequent media operations, and a software control plane for the (infrequent) remaining tasks, such as analyzing feedback signals. Our Tofino-based implementation fully supports WebRTC and delivers 7-210 times improved scaling over a 32-core commodity server, while reaping performance improvements by cutting forwarding-induced latency by 26 times.
format Preprint
id arxiv_https___arxiv_org_abs_2503_11649
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Scalable Video Conferencing Using SDN Principles
Michel, Oliver
Sengupta, Satadal
Kim, Hyojoon
Netravali, Ravi
Rexford, Jennifer
Networking and Internet Architecture
Video-conferencing applications face an unwavering surge in traffic, stressing their underlying infrastructure in unprecedented ways. This paper rethinks the key building block for conferencing infrastructures -- selective forwarding units (SFUs). SFUs relay and adapt media streams between participants and, today, run in software on general-purpose servers. Our main insight, discerned from dissecting the operation of production SFU servers, is that SFUs largely mimic traditional packet-processing operations such as dropping and forwarding. Guided by this, we present Scallop, an SDN-inspired SFU that decouples video-conferencing applications into a hardware-based data plane for latency-sensitive and frequent media operations, and a software control plane for the (infrequent) remaining tasks, such as analyzing feedback signals. Our Tofino-based implementation fully supports WebRTC and delivers 7-210 times improved scaling over a 32-core commodity server, while reaping performance improvements by cutting forwarding-induced latency by 26 times.
title Scalable Video Conferencing Using SDN Principles
topic Networking and Internet Architecture
url https://arxiv.org/abs/2503.11649