Search for optimality in traffic matrix estimation : a rational approach by Cramer-Rao lower bounds
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
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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collection | COLIBRI |
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 |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
description | Trabajo presentado en la 2nd Conference on Next Generation Internet Design and Engineering, Valencia, España |
eu_rights_str_mv | openAccess |
format | preprint |
id | COLIBRI_3ef278d48f4283abbcbffb1d9bf2fd2e |
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 |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38599 |
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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- Universidad de la Repúblicafalse |
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 |