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Junshao Zhang

dblp:326/3744 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Content delivery and video streaming · 67% Transport protocols and congestion control · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
adaptive video streaming
0.612022
GSO-simulcast: global stream orchestration in simulcast video conferencing systems · SIGCOMM 2022
Content delivery and video streaming › video broadcasting
simulcast
0.612022
GSO-simulcast: global stream orchestration in simulcast video conferencing systems · SIGCOMM 2022
Transport protocols and congestion control › real-time communication
video conferencing
0.612022
GSO-simulcast: global stream orchestration in simulcast video conferencing systems · SIGCOMM 2022

Methods — techniques the papers use, named apart from their topics

measurement · 1.1centralized control · 1.1
YearPublicationVenuePosition
2022 GSO-simulcast: global stream orchestration in simulcast video conferencing systems
abstract
We present GSO-Simulcast, a new architecture designed for large-scale multi-party video-conferencing systems. GSO-Simulcast is currently deployed at full-scale in Alibaba's Dingtalk video conferencing that serves more than 500 million users. It marks a fundamental shift from today's Simulcast, where a media server locally decides how to switch and forward video streams based on a fragmented network view. Instead, GSO-Simulcast globally orchestrates the publishing, subscribing, as well as the resolution and bitrate of video streams for each participant using a centralized controller that is aware of all network constraints in a meeting. The controller automatically modifies stream configurations to meet the participants' real-time network changes and updates. In doing so, GSO-Simulcast achieves multiple goals: (1) reducing video and network mismatch, (2) less path congestion, and (3) automated stream policy management. With the deployment of GSO-Simulcast, we observed more than a 35% reduction in the average video stall, 50% reduction in the average voice stall, and 6% improvement in the average video framerate. We describe the principle, design, deployment, and lessons learned.
Xianshang Lin, Junshao Zhang, Yao Cui, Dennis Cai, Hongqiang Harry Liu, Ming Zhang 0005
SIGCOMM3