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Found 5 papers, 2 papers with code
LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models
We present LLM-ABR, the first system that utilizes the generative capabilities of large language models (LLMs) to autonomously design adaptive bitrate (ABR) algorithms tailored for diverse network characteristics.
GRACE: Loss-Resilient Real-Time Video through Neural Codecs
In real-time video communication, retransmitting lost packets over high-latency networks is not viable due to strict latency requirements.
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
We present Autothrottle, a bi-level resource management framework for microservices with latency SLOs (service-level objectives).
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for commercial optimization engines to efficiently solve network traffic engineering (TE) problems at scale.
Multi-agent Reinforcement Learning
Reinforcement Learning (RL)
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.
Networking and Internet Architecture
