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On the Accurate Identification of Network Paths Having a Common Bottleneck
We present a new mechanism for detecting shared bottlenecks between end-to-end paths in a network. Our mechanism, which only needs one-way delays from endpoints as an input, is based on the well-known linear algebraic approach: singular value decomposition (SVD). Clusters of flows which share a bott...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845514/ https://www.ncbi.nlm.nih.gov/pubmed/24327807 http://dx.doi.org/10.1155/2013/890578 |
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author | Yousaf, Muhammad Murtaza Welzl, Michael |
author_facet | Yousaf, Muhammad Murtaza Welzl, Michael |
author_sort | Yousaf, Muhammad Murtaza |
collection | PubMed |
description | We present a new mechanism for detecting shared bottlenecks between end-to-end paths in a network. Our mechanism, which only needs one-way delays from endpoints as an input, is based on the well-known linear algebraic approach: singular value decomposition (SVD). Clusters of flows which share a bottleneck are extracted from SVD results by applying an outlier detection method. Simulations with varying topologies and different network conditions show the high accuracy of our technique. |
format | Online Article Text |
id | pubmed-3845514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38455142013-12-10 On the Accurate Identification of Network Paths Having a Common Bottleneck Yousaf, Muhammad Murtaza Welzl, Michael ScientificWorldJournal Research Article We present a new mechanism for detecting shared bottlenecks between end-to-end paths in a network. Our mechanism, which only needs one-way delays from endpoints as an input, is based on the well-known linear algebraic approach: singular value decomposition (SVD). Clusters of flows which share a bottleneck are extracted from SVD results by applying an outlier detection method. Simulations with varying topologies and different network conditions show the high accuracy of our technique. Hindawi Publishing Corporation 2013-11-12 /pmc/articles/PMC3845514/ /pubmed/24327807 http://dx.doi.org/10.1155/2013/890578 Text en Copyright © 2013 M. M. Yousaf and M. Welzl. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yousaf, Muhammad Murtaza Welzl, Michael On the Accurate Identification of Network Paths Having a Common Bottleneck |
title | On the Accurate Identification of Network Paths Having a Common Bottleneck |
title_full | On the Accurate Identification of Network Paths Having a Common Bottleneck |
title_fullStr | On the Accurate Identification of Network Paths Having a Common Bottleneck |
title_full_unstemmed | On the Accurate Identification of Network Paths Having a Common Bottleneck |
title_short | On the Accurate Identification of Network Paths Having a Common Bottleneck |
title_sort | on the accurate identification of network paths having a common bottleneck |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845514/ https://www.ncbi.nlm.nih.gov/pubmed/24327807 http://dx.doi.org/10.1155/2013/890578 |
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