ARTIFICIAL-INTELLIGENCE APPROACHES TO NETWORK MANAGEMENT - RECENT ADVANCES AND A SURVEY

Citation
Gp. Kumar et P. Venkataram, ARTIFICIAL-INTELLIGENCE APPROACHES TO NETWORK MANAGEMENT - RECENT ADVANCES AND A SURVEY, Computer communications, 20(15), 1997, pp. 1313-1322
Citations number
161
Journal title
ISSN journal
01403664
Volume
20
Issue
15
Year of publication
1997
Pages
1313 - 1322
Database
ISI
SICI code
0140-3664(1997)20:15<1313:AATNM->2.0.ZU;2-T
Abstract
With increased number of new services and users being added to the com munication network, management of such networks becomes crucial to pro vide assured quality of service. Finding skilled managers is often a p roblem. To alleviate this problem and also to provide assistance to th e available network managers, network management has to be automated. Many attempts have been made in this direction and it is a promising a rea of interest to researchers in both academia and industry. In this paper, a review of the management complexities in present day networks and artificial intelligence approaches to network management are pres ented. Published by Elsevier Science B.V.