Probability-model based network traffic matrix estimation

  title={Probability-model based network traffic matrix estimation},
  author={Hui Tian and Yingpeng Sang and Hong Shen and Chunyue Zhou},
  journal={Comput. Sci. Inf. Syst.},
Traffic matrix is of great help in many network applications. However, it is very difficult to estimate the traffic matrix for a large-scale network. This is because the estimation problem from limited link measurements is highly underconstrained. We propose a simple probability model for a large-scale practical network. The probability model is then generalized to a general model by including random traffic data. Traffic matrix estimation is then conducted under these two models by two… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 17 references

Diffusion Wavelets-Based Analysis on Traffic Matrices

2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies • 2011
View 1 Excerpt

New methods for network traffic matrix estimation based on a probability model

2011 17th IEEE International Conference on Networks • 2011
View 1 Excerpt

Compressed Sensing for Networked Data

IEEE Signal Processing Magazine • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…