Transferable Neural WAN TE for Changing Topologies-Reference-Cited by-同舟云学术

Transferable Neural WAN TE for Changing Topologies

Published:2024-08-04 Issue: Volume:35 Page:86-102
ISSN:
Container-title:Proceedings of the ACM SIGCOMM 2024 Conference
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Author:

AlQiam Abd AlRhman¹^ORCID,Yao Yuanjun²^ORCID,Wang Zhaodong²^ORCID,Ahuja Satyajeet Singh³^ORCID,Zhang Ying²^ORCID,Rao Sanjay G.⁴^ORCID,Ribeiro Bruno¹^ORCID,Tawarmalani Mohit⁴^ORCID

Affiliation:

1. Purdue University, West Lafayette, Indiana, United States of America

2. Meta, Menlo Park, California, USA

3. Meta Platforms, Inc, Menlo Park, California, USA

4. Purdue University, West Lafayette, Indiana, USA

Funder

National Science Foundation

Air Force Office of Scientific Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651890.3672237

Reference64 articles.

1. Abilene traffic matrices. http://www.cs.utexas.edu/~yzhang/research/AbileneTM/.

2. Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, and Peter Bailis. Contracting wide-area network topologies to solve flow problems quickly. In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pages 175--200. USENIX Association, April 2021.

3. Making intra-domain routing robust to changing and uncertain traffic demands

4. David L. Applegate, Mateo D'iaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, and Warren Schudy. Practical large-scale linear programming using primal-dual hybrid gradient. In Neural Information Processing Systems, 2021.

5. Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, and Petar Veličković. Neural algorithmic reasoning with causal regularisation. ICML, 2023.