Adaptive Path Selection for Link Loss Inference in Network Tomography Applications

In this study, we address the problem of selecting the optimal end-to-end paths for link loss inference in order to improve the performance of network tomography applications, which infer the link loss rates from the path loss rates. Measuring the path loss rates using end-to-end probing packets may...

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Detalles Bibliográficos
Autores principales: Qiao, Yan, Jiao, Jun, Rao, Yuan, Ma, Huimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5049780/
https://www.ncbi.nlm.nih.gov/pubmed/27701447
http://dx.doi.org/10.1371/journal.pone.0163706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5049780/
https://www.ncbi.nlm.nih.gov/pubmed/27701447
http://dx.doi.org/10.1371/journal.pone.0163706

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