An iterative tomogravity algorithm for the estimation of network traffic

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This paper introduces an iterative tomogravity algorithm for the estimation of a network traffic matrix based on one snapshot observation of the link loads in the network. The proposed method does not require complete observation of the total load on individual edge links or proper tuning of a penalty parameter as existing methods do. Numerical results are presented to demonstrate that the iterative tomogravity method controls the estimation error well when the link data is fully observed and produces robust results with moderate amount of missing link data.
Published at http://dx.doi.org/10.1214/074921707000000030 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)

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Applications, 62P30, 62H12, 62G05, 62F10 (Primary)

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http://salesiana.dossiersoluciones.com/handle/123456789/136383

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0708.0945
 http://arxiv.org/abs/0708.0945
 IMS Lecture Notes Monograph Series 2007, Vol. 54, 12-23
 doi:10.1214/074921707000000030

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arXiv