Catalog Home Page

Application of the recommendation architechture to telecommunications network management

Coward, A., Gedeon, T. and Kenworthy, W.D. (2001) Application of the recommendation architechture to telecommunications network management. International Journal of Neural Systems, 11 (4). pp. 323-327.

[img]
Preview
PDF - Authors' Version
Download (45kB)
Link to Published Version: http://dx.doi.org/10.1142/S0129065701000783
*Subscription may be required

Abstract

The recommendation architecture has been proposed as a system architecture which can enable a system to learn to perform a complex combination of interrelated functions. The capability of a system with the recommendation architecture to learn to manage complex telecommunication backbone networks has been investigated. A network model with a number of nodes and links and carrying realistic but randomly generated traffic was used as the target for the management system. Traffic data taken from the model was used as input to the recommendation architecture system. The traffic data was organized into inputs once every 5 minutes, and the management system organized these inputs into a hierarchy of repetition similarity. It was demonstrated that the outputs of this hierarchy provided information on the condition of the network. This output information was a compressed version of the inputs which correlated with major network conditions.

Publication Type: Journal Article
Murdoch Affiliation: School of Information Technology
Publisher: WorldSciNet
URI: http://researchrepository.murdoch.edu.au/id/eprint/1871
Item Control Page Item Control Page

Downloads

Downloads per month over past year