41 citations · 49 across the 5 of their papers we have counts for
7 papers
Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks
Pantea Karimi, Sadjad Fouladi, Vibhaalakshmi Sivaraman +1
Real-time video streaming relies on rate control mechanisms to adapt video bitrate to network capacity while maintaining high utilization and low delay. However, the current video…
Reparo: Loss-Resilient Generative Codec for Video Conferencing
Tianhong Li, Vibhaalakshmi Sivaraman, Pantea Karimi +3
Packet loss during video conferencing often results in poor quality and video freezing. Retransmitting lost packets is often impractical due to the need for real-time playback, and…
Gemino: Practical and Robust Neural Compression for Video Conferencing
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy +5
Video conferencing systems suffer from poor user experience when network conditions deteriorate because current video codecs simply cannot operate at extremely low bitrates. Recent…
Efficient Video Compression via Content-Adaptive Super-Resolution
Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
Video compression is a critical component of Internet video delivery. Recent work has shown that deep learning techniques can rival or outperform human-designed algorithms, but the…
The Effect of Network Topology on Credit Network Throughput
Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan +2
Credit networks rely on decentralized, pairwise trust relationships (channels) to exchange money or goods. Credit networks arise naturally in many financial systems, including the…
High Throughput Cryptocurrency Routing in Payment Channel Networks
Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Kathy Ruan +5
Despite growing adoption of cryptocurrencies, making fast payments at scale remains a challenge. Payment channel networks (PCNs) such as the Lightning Network have emerged as a via…
Heavy-Hitter Detection Entirely in the Data Plane
Vibhaalakshmi Sivaraman, Srinivas Narayana, Ori Rottenstreich +2
Identifying the "heavy hitter" flows or flows with large traffic volumes in the data plane is important for several applications e.g., flow-size aware routing, DoS detection, and t…