Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds

Bermolen, Paola - Vaton, Sandrine - Juva, I

Resumen:

In this paper we study the problem of traffic matrix estimation. The problem is ill-posed and thus some additional information has to be brought in to obtain an estimate. One common approach is to use the second moment statistics through a functional mean-variance relationship. We derive analytically the Fisher information matrix under this framework and obtain the Cramer-Rao lower bound (CRLB) for the variance of an estimator of the traffic matrix. Applications for the use of the CRLB are then demonstrated. From the bounds we can directly obtain confidence intervals for maximum likelihood estimates. Another use for the CRLB is the possibility to evaluate the efficiency of an estimator against the lower bound. A third possible application is to utilize the bounds in an approach to find the best placement for direct measurements of OD flows, so that it is optimal with regard to the traffic matrix estimation problem


Detalles Bibliográficos
2006
Telecomunicaciones
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/38599
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Bermolen, Paola
author2 Vaton, Sandrine
Juva, I
author2_role author
author
author_facet Bermolen, Paola
Vaton, Sandrine
Juva, I
author_role author
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dc.creator.none.fl_str_mv Bermolen, Paola
Vaton, Sandrine
Juva, I
dc.date.accessioned.none.fl_str_mv 2023-08-01T20:32:57Z
dc.date.available.none.fl_str_mv 2023-08-01T20:32:57Z
dc.date.issued.es.fl_str_mv 2006
dc.date.submitted.es.fl_str_mv 20230801
dc.description.abstract.none.fl_txt_mv In this paper we study the problem of traffic matrix estimation. The problem is ill-posed and thus some additional information has to be brought in to obtain an estimate. One common approach is to use the second moment statistics through a functional mean-variance relationship. We derive analytically the Fisher information matrix under this framework and obtain the Cramer-Rao lower bound (CRLB) for the variance of an estimator of the traffic matrix. Applications for the use of the CRLB are then demonstrated. From the bounds we can directly obtain confidence intervals for maximum likelihood estimates. Another use for the CRLB is the possibility to evaluate the efficiency of an estimator against the lower bound. A third possible application is to utilize the bounds in an approach to find the best placement for direct measurements of OD flows, so that it is optimal with regard to the traffic matrix estimation problem
dc.description.es.fl_txt_mv Trabajo presentado en la 2nd Conference on Next Generation Internet Design and Engineering, Valencia, España
dc.identifier.citation.es.fl_str_mv Bermolen, P., Vaton, S., Juva, I. Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds [Preprint] Publicado en Proceedings of the 2nd Conference on Next Generation Internet Design and Engineering, NGI '06. Valencia, España, 2006. doi 10.1109/NGI.2006.1678245
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/38599
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.other.es.fl_str_mv Telecomunicaciones
dc.title.none.fl_str_mv Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
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description Trabajo presentado en la 2nd Conference on Next Generation Internet Design and Engineering, Valencia, España
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identifier_str_mv Bermolen, P., Vaton, S., Juva, I. Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds [Preprint] Publicado en Proceedings of the 2nd Conference on Next Generation Internet Design and Engineering, NGI '06. Valencia, España, 2006. doi 10.1109/NGI.2006.1678245
instacron_str Universidad de la República
institution Universidad de la República
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language eng
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network_acronym_str COLIBRI
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publishDate 2006
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling 2023-08-01T20:32:57Z2023-08-01T20:32:57Z200620230801Bermolen, P., Vaton, S., Juva, I. Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds [Preprint] Publicado en Proceedings of the 2nd Conference on Next Generation Internet Design and Engineering, NGI '06. Valencia, España, 2006. doi 10.1109/NGI.2006.1678245https://hdl.handle.net/20.500.12008/38599Trabajo presentado en la 2nd Conference on Next Generation Internet Design and Engineering, Valencia, EspañaIn this paper we study the problem of traffic matrix estimation. The problem is ill-posed and thus some additional information has to be brought in to obtain an estimate. One common approach is to use the second moment statistics through a functional mean-variance relationship. We derive analytically the Fisher information matrix under this framework and obtain the Cramer-Rao lower bound (CRLB) for the variance of an estimator of the traffic matrix. Applications for the use of the CRLB are then demonstrated. From the bounds we can directly obtain confidence intervals for maximum likelihood estimates. Another use for the CRLB is the possibility to evaluate the efficiency of an estimator against the lower bound. A third possible application is to utilize the bounds in an approach to find the best placement for direct measurements of OD flows, so that it is optimal with regard to the traffic matrix estimation problemMade available in DSpace on 2023-08-01T20:32:57Z (GMT). No. of bitstreams: 5 BVJ06.pdf: 156778 bytes, checksum: d3ff2572c22f2faa39f96982f9776e9b (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2006enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)TelecomunicacionesSearch for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower boundsPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBermolen, PaolaVaton, SandrineJuva, ITelecomunicacionesAnálisis de Redes, Tráfico y Estadísticas de 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spellingShingle Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
Bermolen, Paola
Telecomunicaciones
status_str submittedVersion
title Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
title_full Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
title_fullStr Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
title_full_unstemmed Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
title_short Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
title_sort Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
topic Telecomunicaciones
url https://hdl.handle.net/20.500.12008/38599