Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video Streaming-Reference-Cited by-同舟云学术

Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video Streaming

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Shi Wanxin¹,Li Qing²,Wang Chao³,Zou Longhao⁴,Shen Gengbiao⁵,Zhang Pei⁶,Jiang Yong¹

Affiliation:

1. International Graduate School, Tsinghua University, China and Peng Cheng Laboratory, China

2. Peng Cheng Laboratory, China

3. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China

4. Southern University of Science and Technology, China and Peng Cheng Laboratory, China

5. International Graduate School, Tsinghua University, China and Sangfor Technologies Incorporation, China

6. Beijing University of Posts and Telecommunications, China

Funder

National Natural Science Foundation of China

Shenzhen Key Lab of Software Defined Networking

China Postdoctoral Science Foundation

Key-Area Research and Development Program of Guangdong Province

Social Science Fund of Shenzhen

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511944

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4. Zahaib Akhtar , Yun Seong Nam , Ramesh Govindan , Sanjay Rao , Jessica Chen , Ethan Katz-Bassett , and et.al Ribeiro. 2018 . Oboe: Auto-Tuning Video ABR Algorithms to Network Conditions. In ACM SIGCOMM. Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay Rao, Jessica Chen, Ethan Katz-Bassett, and et.al Ribeiro. 2018. Oboe: Auto-Tuning Video ABR Algorithms to Network Conditions. In ACM SIGCOMM.

5. Daniel S Berger Ramesh K Sitaraman and Mor Harchol-Balter. 2017. AdaptSize: Orchestrating the Hot Object Memory Cache in a Content Delivery Network. In USENIX NSDI. Daniel S Berger Ramesh K Sitaraman and Mor Harchol-Balter. 2017. AdaptSize: Orchestrating the Hot Object Memory Cache in a Content Delivery Network. In USENIX NSDI.

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