SAROS: A Self-Adaptive Routing Oblivious Sampling Method for Network-wide Heavy Hitter Detection-Reference-Cited by-同舟云学术

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SAROS: A Self-Adaptive Routing Oblivious Sampling Method for Network-wide Heavy Hitter Detection

Published:2024-08-03 Issue: Volume:2021 Page:142-148
ISSN:
Container-title:Proceedings of the 8th Asia-Pacific Workshop on Networking
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Author:

Li Enhan¹^ORCID,Wu Wenhao²^ORCID,Zhaohua Wang³^ORCID,Li Zhenyu²^ORCID,Niu Jianwei⁴^ORCID

Affiliation:

1. Hangzhou Innovation Institute, Beihang University, China and Institute of Computing Technology, Chinese Academy of Science, China

2. Institute of Computing Technology, Chinese Academy of Science, China

3. Computer Network Information Center, Chinese Academy of Sciences, China

4. Hangzhou Innovation Institute, Beihang University, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3663408.3663429

Reference28 articles.

1. 2024. SAROS. https://anonymous.4open.science/r/SAROS_HHD-078E/README.md.

2. Detecting heavy flows in the SDN match and action model

3. Aggregate-based congestion control for pulse-wave DDoS defense

4. Counting Distinct Elements in a Data Stream

5. Ran Ben Basat, Xiaoqi Chen, Gil Einziger, Shir Landau Feibish, Danny Raz, and Minlan Yu. 2020. Routing oblivious measurement analytics. In 2020 IFIP Networking Conference. 449–457.

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