Integrated prefetching and caching for adaptive video streaming over HTTP

Author:

Liang Ke1,Hao Jia2,Zimmermann Roger2,Yau David K. Y.3

Affiliation:

1. Advanced Digital Sciences Center

2. National University of Singapore

3. Singapore University of Technology and Design

Funder

Singapore Agency for Science, Technology and Research (A*STAR)

Publisher

ACM

Reference27 articles.

1. RFC 6349. http://www.rfc-editor.org/info/rfc6349. RFC 6349. http://www.rfc-editor.org/info/rfc6349.

2. VLC Dash Plugin. https://github.com/videolan/vlc. VLC Dash Plugin. https://github.com/videolan/vlc.

3. YouTube Video Format. https://en.wikipedia.org/wiki/YouTube. YouTube Video Format. https://en.wikipedia.org/wiki/YouTube.

4. A quest for an Internet video quality-of-experience metric

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1. Reinforcement Learning-Based Adaptive Bitrate Caching at MEC Server;IEEE Transactions on Network and Service Management;2024-06

2. Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH);IEEE Transactions on Network and Service Management;2022-12

3. Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review;Applied Sciences;2021-12-27

4. Had You Looked Where I'm Looking? Cross-user Similarities in Viewing Behavior for 360-degree Video and Caching Implications;Proceedings of the ACM/SPEC International Conference on Performance Engineering;2020-04-20

5. LEAP;Proceedings of the International Symposium on Quality of Service;2019-06-24

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