Title :
Generalized Kruithof Approach for Traffic Matrix Estimation
Author :
Eum, Suyong ; Harris, Richard J. ; Kist, Alexander
Author_Institution :
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, Vic.
Abstract :
In this paper, the traffic matrix estimation problem is formulated as an nonlinear optimization problem based on the generalized Kruithof approach which uses the Kullback distance to measure the probabilistic distance between two traffic matrices. In addition, an algorithm using the affine scaling method is provided to solve the constraint optimization problem.
Keywords :
matrix algebra; nonlinear programming; telecommunication network routing; telecommunication traffic; Kullback distance; affine seating method; generalized Kruithof approach; nonlinear optimization problem; probabilistic distance measurement; traffic matrix estimation; Acceleration; Australia; Equations; Information theory; Optimization methods; Protocols; Strategic planning; Telecommunication computing; Telecommunication traffic; Testing; Affine Scaling Method; Kruithof Method; Kullback distance; Traffic Matrix;
Conference_Titel :
Networks, 2006. ICON '06. 14th IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9746-0
DOI :
10.1109/ICON.2006.302620
