7 papers
MultiMoQ: Multi-Access Media-Over-QUIC for Robust Immersive Video Streaming
Yitong Li, Xinjiao Li, Ruonan Chai +1
Live immersive video streaming, particularly 360-degree video, is increasingly adopted in applications such as virtual events, sports broadcasting, and remote education. Existing a…
MARS: Multipath Adaptive Reliable Service
Yitong Li, Xinjiao Li, Dirk Kutscher
Multipath transport is increasingly important for Internet/WAN services that move large data volumes across heterogeneous paths, including geo-distributed analytics, content distri…
INDS: Incremental Named Data Streaming for Real-Time Point Cloud Video
Ruonan Chai, Yixiang Zhu, Xinjiao Li +3
Real-time streaming of point cloud video, characterized by massive data volumes and high sensitivity to packet loss, remains a key challenge for immersive applications under dynami…
ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing
Yisu Wang, Yixiang Zhu, Xinjiao Li +3
Large-scale video feature indexing in datacenters is critically dependent on efficient data transfer. Although in-network computation has emerged as a compelling strategy for accel…
NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Yisu Wang, Xinjiao Li, Ruilong Wu +2
Training large-scale distributed machine learning models imposes considerable demands on network infrastructure, often resulting in sudden traffic spikes that lead to congestion, i…
Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization
Ruilong Wu, Xinjiao Li, Yisu Wang +2
Hybrid parallelism techniques are essential for efficiently training large language models (LLMs). Nevertheless, current automatic parallel planning frameworks often overlook the s…