DocumentCode
3415540
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.
Volume
2
fYear
2006
fDate
Sept. 2006
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks, 2006. ICON '06. 14th IEEE International Conference on
Conference_Location
Singapore
ISSN
1556-6463
Print_ISBN
0-7803-9746-0
Type
conf
DOI
10.1109/ICON.2006.302620
Filename
4087764
Link To Document