5 papers
MSADM: Large Language Model (LLM) Assisted End-to-End Network Health Management Based on Multi-Scale Semanticization
Fengxiao Tang, Xiaonan Wang, Xun Yuan +4
Network device and system health management is the foundation of modern network operations and maintenance. Traditional health management methods, relying on expert identification…
HiVid: LLM-Guided Video Saliency For Content-Aware VOD And Live Streaming
Jiahui Chen, Bo Peng, Lianchen Jia +3
Content-aware streaming requires dynamic, chunk-level importance weights to optimize subjective quality of experience (QoE). However, direct human annotation is prohibitively expen…
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
Lianchen Jia, Chaoyang Li, Qian Houde +3
Control algorithms in production environments typically require domain experts to tune their parameters and logic for specific scenarios. However, existing research predominantly f…
Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models
Lianchen Jia, Chaoyang Li, Ziqi Yuan +4
Over the past decade, adaptive video streaming technology has witnessed significant advancements, particularly driven by the rapid evolution of deep learning techniques. However, t…
Reducing Traffic Wastage in Video Streaming via Bandwidth-Efficient Bitrate Adaptation
Hairong Su, Shibo Wang, Shusen Yang +2
Bitrate adaptation (also known as ABR) is a crucial technique to improve the quality of experience (QoE) for video streaming applications. However, existing ABR algorithms suffer f…