Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
447081 | AEU - International Journal of Electronics and Communications | 2010 | 5 Pages |
Abstract
This letter studies the large-scale IP traffic matrix (TM) estimation problem and proposes a novel method called the simulated annealing and generalized inference (SAGI). The major challenge of large-scale IP TM estimation is its highly ill-posed nature. We describe the TM estimation into a modified simulated annealing process, and then by using the generalized inference we can easily overcome its ill-posed nature. Simulation results show that SAGI is promising.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Dingde Jiang, Xingwei Wang, Lei Guo,