Quick traffic matrix estimation based on link count covariances
| Autor: | Jorma Virtamo, I. Juva, Sandrine Vaton |
|---|---|
| Přispěvatelé: | Laboratoire d'informatique des télécommunications (LIT), Institut Télécom-Télécom Bretagne, Département informatique (INFO), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Télécom Bretagne, Bibliothèque |
| Jazyk: | francouzština |
| Rok vydání: | 2006 |
| Předmět: |
Sequence
Mathematical optimization Covariance matrix Computer science 020206 networking & telecommunications 02 engineering and technology Variance (accounting) 01 natural sciences Traffic matrix estimation Moment (mathematics) 010104 statistics & probability Estimation of covariance matrices 0202 electrical engineering electronic engineering information engineering Projection method Minification 0101 mathematics Routing (electronic design automation) |
| Zdroj: | ICC 2006 : IEEE International Conference on Communications ICC 2006 : IEEE International Conference on Communications, Jun 2006, Istanbul, Turquie ICC |
| Popis: | International audience; In this paper we consider the problem of traffic matrix estimation. As the problem is underconstrained, some additional information has to be brought in to obtain a solution. If we have a sequence of link count measurements available, a natural candidate is to use the link count sample covariance matrix under the assumption of a functional relationship between the mean and the variance of the traffic. We propose two com-putationally light-weight methods for traffic matrix estimation based on the covariance matrix, the projection method and constrained minimization method. The accuracy of these methods is compared with that of other methods using second order moment estimates by simulation under synthetic traffic scenarios. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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