Meta-reinforcement learning via buffering graph signatures for live video streaming events-Reference-Cited by-同舟云学术

Meta-reinforcement learning via buffering graph signatures for live video streaming events

Published:2021-11-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Author:

Antaris Stefanos¹,Rafailidis Dimitrios²,Girdzijauskas Sarunas³

Affiliation:

1. Hive Streaming AB, Sweden

2. University of Thessaly, Greece

3. KTH Royal Institute of Technology, Sweden

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487351.3490973

Reference30 articles.

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2. "Bringing down the walls " https://www.akamai.com/us/en/multimedia/documents/ebooks/broadcast-over-the-internet-book-one-bringing-down-the-walls-ebook.pdf 2017 [Online; accessed 29-January-2021]. "Bringing down the walls " https://www.akamai.com/us/en/multimedia/documents/ebooks/broadcast-over-the-internet-book-one-bringing-down-the-walls-ebook.pdf 2017 [Online; accessed 29-January-2021].

3. S. Antaris and D. Rafailidis , " Vstreamdrls: Dynamic graph representation learning with self-attention for enterprise distributed video streaming solutions," in ASONAM , 2020 . S. Antaris and D. Rafailidis, "Vstreamdrls: Dynamic graph representation learning with self-attention for enterprise distributed video streaming solutions," in ASONAM, 2020.

4. SmoothCache 2.0

5. Streaming Graph Neural Networks