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  1. I. Juva, S. Vaton and J. Virtamo, Quick Traffic Matrix Estimation Based on Link Count Covariances, in EURO NGI Workshop on Traffic Engineering, Protection and Restoration, Rome, Italy, 2005 (pdf)(bib)
    Abstract: 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 solution. If we have several link count measurements available, a natural candidate is to use the link count sample covariance matrix. We propose two computationally 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.