In this paper, we propose DeepCast, an edge-assisted crowdcast framework, which makes intelligent decisions at edges based on the massive amount of real-time ...

Through deep reinforcement learning (DRL), it automatically identifies the most suitable strategies for viewer assignment and transcoding at edges. We collect ...

To our best knowledge, DeepCast is the first edge-assisted framework that applies the advance of DRL to explicitly accommodate personalized QoE optimization for ...

Mar 25, 2020 · Through deep reinforcement learning (DRL), it automatically identifies the most suitable strategies for viewer assignment and transcoding at ...

Wang [85] proposed an edge-assisted crowdcast framework called Deepcast which carries out intelligent decisions using massive amount of viewers and network real ...

Nov 9, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

Through deep reinforcement learning (DRL), it automatically identifies the most suitable strategies for viewer assignment and transcoding at edges. We collect ...

In this article, we first provide an overview of today's crowdcast solutions, highlighting the challenges and opportunities therein from uni- form crowdcast to ...

Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE · Video processing with serverless computing: a measurement study.

Research materials about multimedia network and system, including paper list, tools, etc. - Video-Streaming-Research-Papers/Repository of papers.md at main ...