Achieving Efficient Scheduling based on Accurate Measurement of Small Flows in Data Center-Reference-Cited by-同舟云学术

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Achieving Efficient Scheduling based on Accurate Measurement of Small Flows in Data Center

Published:2024-08-12 Issue: Volume:3 Page:337-346
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
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Author:

Huang Jiawei¹^ORCID,Wang Qile¹^ORCID,Li Zhaoyi¹^ORCID,Li Yijun¹^ORCID,Chen Zihao¹^ORCID,Li Sitan¹^ORCID,Shao Jing¹^ORCID,Liu Jingling¹^ORCID,Zhan Min¹^ORCID,Wang Jianxin¹^ORCID

Affiliation:

1. Central South University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673086

Reference25 articles.

1. 2024. Barefoot Tofino. https://www.intel.com/content/www/us/en/products/details/network-io/intelligent-fabric-processors/tofino.html.

2. 2024. Caida. http://www.caida.org/data/overview/.

3. 2024. The Network Simulator ns-2. https://www.isi.edu/websites/nsnam/ns/.

4. 2002. Zipf’s law and the Internet.;Adamic L.;Glottometrics,2002

5. A. Alcoz, A. Dietmüller, and L. Vanbever. 2020. SP-PIFO: Approximating Push-In First-Out Behaviors using Strict-Priority Queues. In Proc. USENIX NSDI. 59–76.

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