19 citations · 44 across the 4 of their papers we have counts for
6 papers
Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming
Zhuqi Li, Yaxiong Xie, Ravi Netravali +1
Short video streaming applications have recently gained substantial traction, but the non-linear video presentation they afford swiping users fundamentally changes the problem of m…
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
John Thorpe, Pengzhan Zhao, Jonathan Eyolfson +5
DNN models across many domains continue to grow in size, resulting in high resource requirements for effective training, and unpalatable (and often unaffordable) costs for organiza…
Privid: Practical, Privacy-Preserving Video Analytics Queries
Frank Cangialosi, Neil Agarwal, Venkat Arun +4
Analytics on video recorded by cameras in public areas have the potential to fuel many exciting applications, but also pose the risk of intruding on individuals' privacy. Unfortuna…
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
John Thorpe, Yifan Qiao, Jonathan Eyolfson +8
A graph neural network (GNN) enables deep learning on structured graph data. There are two major GNN training obstacles: 1) it relies on high-end servers with many GPUs which are e…
ABC: A Simple Explicit Congestion Controller for Wireless Networks
Prateesh Goyal, Anup Agarwal, Ravi Netravali +2
We propose Accel-Brake Control (ABC), a simple and deployable explicit congestion control protocol for network paths with time-varying wireless links. ABC routers mark each packet…
Secure Incentivization for Decentralized Content Delivery
Prateesh Goyal, Ravi Netravali, Mohammad Alizadeh +1
Prior research has proposed technical solutions to use peer-to-peer (P2P) content delivery to serve Internet video, showing that it can reduce costs to content providers. Yet, such…