Optimal Policy for LSP Control in MPLS Networks

Authors

  • G. Lauks Riga Technical University
  • J. Jeļinskis Riga Technical University

Abstract

In present time there is a very active research in the field of multiprotocol label switching (MPLS), and lots of networks are supporting MPLS. A possibility of a new LSP setup policy algorithm, which uses optimization procedure based on multi-objective model with Pareto ranking and Genetic Algorithm, is verified. Adaptation to variable and bursty traffic is achieved by using Neural Network learning capabilities, and decision making under uncertainty is made up with Fuzzy Logical approach. This algorithm functions in two phases – learning and operating, which are accomplished consecutive. Algorithm is described and depicted. Experimental data is depicted and future research subjects are pointed. Ill. 4, bibl. 11 (in English, summary in English, Russian and Lithuanian).

Downloads

Published

2007-05-20

How to Cite

Lauks, G., & Jeļinskis, J. (2007). Optimal Policy for LSP Control in MPLS Networks. Elektronika Ir Elektrotechnika, 77(5), 65-68. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/10743

Issue

Vol. 77 No. 5 (2007)

Section

T 121 SIGNAL TECHNOLOGY

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.