Neural-enhanced live streaming: Improving live video ingest via online learning

J Kim, Y Jung, H Yeo, J Ye, D Han - … of the Annual conference of the …, 2020 - dl.acm.org
Live video accounts for a significant volume of today's Internet video. Despite a large
number of efforts to enhance user quality of experience (QoE) both at the ingest and …

Improving cloud gaming experience through mobile edge computing

X Zhang, H Chen, Y Zhao, Z Ma, Y Xu… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
With the development of 4G/5G technology and smart devices, more and more users begin
to play games via their mobile devices. As a promising way to enable users to play any …

[HTML][HTML] Cloud-gaming: Analysis of google stadia traffic

M Carrascosa, B Bellalta - Computer Communications, 2022 - Elsevier
Interactive, real-time, and high-quality cloud video games pose a serious challenge to the
Internet due to simultaneous high-throughput and low round trip delay requirements. In this …

Measuring the performance and network utilization of popular video conferencing applications

K MacMillan, T Mangla, J Saxon… - Proceedings of the 21st …, 2021 - dl.acm.org
Video conferencing applications (VCAs) have become a critical Internet application during
the COVID-19 pandemic, as users worldwide now rely on them for work, school, and …

Tambur: Efficient loss recovery for videoconferencing via streaming codes

M Rudow, FY Yan, A Kumar… - … USENIX Symposium on …, 2023 - usenix.org
Packet loss degrades the quality of experience (QoE) of videoconferencing. The standard
approach to recovering lost packets for long-distance communication where retransmission …

When machine learning meets congestion control: A survey and comparison

H Jiang, Q Li, Y Jiang, GB Shen, R Sinnott, C Tian… - Computer Networks, 2021 - Elsevier
Abstract Machine learning has seen a significant surge and uptake across many diverse
applications. The high flexibility, adaptability, and computing capabilities it provides extend …

QARC: Video quality aware rate control for real-time video streaming based on deep reinforcement learning

T Huang, RX Zhang, C Zhou, L Sun - Proceedings of the 26th ACM …, 2018 - dl.acm.org
Real-time video streaming is now one of the main applications in all network environments.
Due to the fluctuation of throughput under various network conditions, how to choose a …

Livenet: a low-latency video transport network for large-scale live streaming

J Li, Z Li, R Lu, K Xiao, S Li, J Chen, J Yang… - Proceedings of the …, 2022 - dl.acm.org
Low-latency live streaming has imposed stringent latency requirements on video transport
networks. In this paper we report on the design and operation of the Alibaba low-latency …

Performance evaluation of WebRTC-based video conferencing

B Jansen, T Goodwin, V Gupta, F Kuipers… - ACM SIGMETRICS …, 2018 - dl.acm.org
WebRTC has quickly become popular as a video conferencing platform, partly due to the
fact that many browsers support it. WebRTC utilizes the Google Congestion Control (GCC) …

[HTML][HTML] A machine learning based Distributed Congestion Control Protocol for multi-hop wireless networks

JPA León, LJ de la Cruz Llopis, FJ Rico-Novella - Computer Networks, 2023 - Elsevier
The application areas of multi-hop wireless networks are expected to experience sustained
growth in the next years. This growth will be further supported by the current possibility of …