article

Providing public intradomain traffic matrices to the research community

Authors:

Simon BalonAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 36, Issue 1

Pages 83 - 86

https://doi.org/10.1145/1111322.1111341

Published: 10 January 2006 Publication History

Abstract

This paper presents a new publicly available dataset from GÉANT, the European Research and Educational Network. This dataset consists of traffic matrices built using full IGP routing information, sampled Netflow data and BGP routing information of the GÉANT network, one per 15 minutes interval for several months. Potential benefits of publicly available traffic matrices comprise improving our understanding of real traffic matrices, their dynamics, and to make possible the benchmarking of intradomain traffic engineering methods

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Cited By

Gong XRen SWang CWang J(2024)Research on Computing Resource Measurement and Routing Methods in Software Defined Computing First NetworkSensors10.3390/s2404108624:4(1086)Online publication date: 7-Feb-2024
https://doi.org/10.3390/s24041086
WANG YNAKACHI T(2024)Network Traffic Anomaly Detection: A Revisiting to Gaussian Process and Sparse RepresentationIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2022EAP1161E107.A:1(125-133)Online publication date: 1-Jan-2024
https://doi.org/10.1587/transfun.2022EAP1161
Miyata T(2024)Traffic matrix completion by weighted tensor nuclear norm minimization and time slicingNonlinear Theory and Its Applications, IEICE10.1587/nolta.15.31115:2(311-323)Online publication date: 2024
https://doi.org/10.1587/nolta.15.311
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Index Terms

Providing public intradomain traffic matrices to the research community
1. Networks

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Published In

cover image ACM SIGCOMM Computer Communication Review

ACM SIGCOMM Computer Communication Review Volume 36, Issue 1

January 2006

90 pages

ISSN:0146-4833

DOI:10.1145/1111322

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Copyright © 2006 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 January 2006

Published in SIGCOMM-CCR Volume 36, Issue 1

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Cited By

Gong XRen SWang CWang J(2024)Research on Computing Resource Measurement and Routing Methods in Software Defined Computing First NetworkSensors10.3390/s2404108624:4(1086)Online publication date: 7-Feb-2024
https://doi.org/10.3390/s24041086
WANG YNAKACHI T(2024)Network Traffic Anomaly Detection: A Revisiting to Gaussian Process and Sparse RepresentationIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2022EAP1161E107.A:1(125-133)Online publication date: 1-Jan-2024
https://doi.org/10.1587/transfun.2022EAP1161
Miyata T(2024)Traffic matrix completion by weighted tensor nuclear norm minimization and time slicingNonlinear Theory and Its Applications, IEICE10.1587/nolta.15.31115:2(311-323)Online publication date: 2024
https://doi.org/10.1587/nolta.15.311
Zhang YZhang HCong PWang W(2024)ROND: Rethinking Overlay Network Design with Underlay Network AwarenessProceedings of the ACM on Networking10.1145/36562982:CoNEXT2(1-22)Online publication date: 13-Jun-2024
https://dl.acm.org/doi/10.1145/3656298
Liu XZhao SCui YWang XSekar VYu MSeneviratne AVeitch D(2024)FIGRET: Fine-Grained Robustness-Enhanced Traffic EngineeringProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672258(117-135)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672258
AlQiam AYao YWang ZAhuja SZhang YRao SRibeiro BTawarmalani MSekar VYu MSeneviratne AVeitch D(2024)Transferable Neural WAN TE for Changing TopologiesProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672237(86-102)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672237
Dou SQi LGuo ZChua TNgo CKa-Wei Lee RKumar RLauw H(2024)ARES: Predictable Traffic Engineering under Controller Failures in SD-WANsProceedings of the ACM Web Conference 202410.1145/3589334.3645321(2703-2712)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645321
Ali KJammal M(2024)Proactive VNF Scaling and Placement in 5G O-RAN Using MLIEEE Transactions on Network and Service Management10.1109/TNSM.2023.329298621:1(174-186)Online publication date: 1-Feb-2024
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Zeng JYang LWang CRuan YZhu C(2024)Structured-Anomaly Pursuit of Network Traffic via Corruption-Robust Low-Rank Tensor DecompositionIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.327789511:3(2510-2523)Online publication date: May-2024
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Guo ZQi LDou SWeng JFu XXia Y(2024)Maintaining Control Resiliency for Traffic Engineering in SD-WANsIEEE/ACM Transactions on Networking10.1109/TNET.2024.339384132:4(3485-3498)Online publication date: Aug-2024
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