TY - GEN
T1 - Scalable Video Conferencing Using SDN Principles
AU - Michel, Oliver
AU - Sengupta, Satadal
AU - Kim, Hyojoon
AU - Netravali, Ravi
AU - Rexford, Jennifer
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/8/27
Y1 - 2025/8/27
N2 - 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 and session management. Scallop is a general design that is suitable for a variety of hardware platforms, including programmable switches and SmartNICs. Our Tofino-based implementation fully supports WebRTC and delivers 7-422× improved scaling over a 32-core commodity server, while reaping performance improvements by cutting forwarding-induced latency by 26×. We also present an implementation of Scallop on the BlueField-3 SmartNIC.
AB - 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 and session management. Scallop is a general design that is suitable for a variety of hardware platforms, including programmable switches and SmartNICs. Our Tofino-based implementation fully supports WebRTC and delivers 7-422× improved scaling over a 32-core commodity server, while reaping performance improvements by cutting forwarding-induced latency by 26×. We also present an implementation of Scallop on the BlueField-3 SmartNIC.
KW - P4
KW - SDN
KW - WebRTC
KW - programmable data planes
KW - selective forwarding units
KW - video conferencing
UR - https://www.scopus.com/pages/publications/105016217762
UR - https://www.scopus.com/inward/citedby.url?scp=105016217762&partnerID=8YFLogxK
U2 - 10.1145/3718958.3750489
DO - 10.1145/3718958.3750489
M3 - Conference contribution
AN - SCOPUS:105016217762
T3 - SIGCOMM 2025 - ACM SIGCOMM 2025 Conference
SP - 1213
EP - 1231
BT - SIGCOMM 2025 - ACM SIGCOMM 2025 Conference
PB - Association for Computing Machinery, Inc
T2 - ACM SIGCOMM 2025 Conference, SIGCOMM 2025
Y2 - 8 September 2025 through 11 September 2025
ER -