Learning in situ: a randomized experiment in video streaming
We describe the results of a randomized controlled trial of video-streaming algorithms for
bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of …
bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of …
{DispersedLedger}:{High-Throughput} byzantine consensus on variable bandwidth networks
The success of blockchains has sparked interest in large-scale deployments of Byzantine
fault tolerant (BFT) consensus protocols over wide area networks. A central feature of such …
fault tolerant (BFT) consensus protocols over wide area networks. A central feature of such …
SpaceRTC: Unleashing the low-latency potential of mega-constellations for real-time communications
User-perceived latency is important for the quality of experience (QoE) of wide-area real-
time communications (RTC). This paper explores a futuristic yet important problem facing the …
time communications (RTC). This paper explores a futuristic yet important problem facing the …
Starvation in end-to-end congestion control
To overcome weaknesses in traditional loss-based congestion control algorithms (CCAs),
researchers have developed and deployed several delay-bounding CCAs that achieve high …
researchers have developed and deployed several delay-bounding CCAs that achieve high …
Converge: Qoe-driven multipath video conferencing over webrtc
S Dhawaskar Sathyanarayana, K Lee… - Proceedings of the …, 2023 - dl.acm.org
Video conferencing has become a daily necessity, but protocols to support video
conferencing have yet to keep pace despite the innovation in next-generation networks. As …
conferencing have yet to keep pace despite the innovation in next-generation networks. As …
Counterfactual learning on graphs: A survey
Graph-structured data are pervasive in the real-world such as social networks, molecular
graphs and transaction networks. Graph neural networks (GNNs) have achieved great …
graphs and transaction networks. Graph neural networks (GNNs) have achieved great …
{SENSEI}: Aligning video streaming quality with dynamic user sensitivity
This paper aims to improve video streaming by leveraging a simple observation—users are
more sensitive to low qualityin certain parts of a video than in others. For instance, re …
more sensitive to low qualityin certain parts of a video than in others. For instance, re …
Vsim: Improving qoe fairness for video streaming in mobile environments
The rapid growth of mobile video traffic and user demand poses a more stringent
requirement for efficient bandwidth allocation in mobile networks where multiple users may …
requirement for efficient bandwidth allocation in mobile networks where multiple users may …
Common media client data (cmcd) initial findings
In September 2020, the Consumer Technology Association (CTA) published the CTA-5004:
Common Media Client Data (CMCD) specification. Using this specification, a media client …
Common Media Client Data (CMCD) specification. Using this specification, a media client …
Xron: A hybrid elastic cloud overlay network for video conferencing at planetary scale
Quality and cost are two key considerations for video conferencing services. Service
providers face a dilemma when selecting network tiers to build their infrastructure---relying …
providers face a dilemma when selecting network tiers to build their infrastructure---relying …