DocumentCode :
1676835
Title :
Emerging AI techniques for network management
Author :
Muller, C. ; Veitch, P. ; Magill, E.H. ; Smith, D.G.
Author_Institution :
Dept. of Commun., Strathclyde Univ., Glasgow, UK
Volume :
1
fYear :
1995
Firstpage :
116
Abstract :
The next generation of telecommunications networks-the giant gigabit networks-will require the present management systems to undergo some radical changes. In these networks, the link speeds will move up to gigabits per second and traffic control will become extremely difficult. Moreover, these networks will contain a very large number of physical and logical elements, all these elements will need to be managed and this may rapidly lead to an information explosion. As a consequence, many traditional control and management techniques will no longer be appropriate. Other approaches such as artificial intelligence (AI) have to be considered. This paper concentrates on this issue and highlights the necessity for the use of AI in the management of broadband networks
Keywords :
artificial intelligence; broadband networks; telecommunication computing; telecommunication congestion control; telecommunication network management; AI techniques; broadband networks; link speeds; network management; telecommunications networks; traffic control; Artificial intelligence; Automation; Communication system traffic control; Costs; Electronic mail; Explosions; Next generation networking; Project management; Quality management; Research and development management; Resource management; Space technology; Telecommunication network management; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE
Print_ISBN :
0-7803-2509-5
Type :
conf
DOI :
10.1109/GLOCOM.1995.500281
Filename :
500281
Link To Document :
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