Title :
Bandwidth allocation planning in communication networks
Author :
Frei, Christian ; Faltings, Boi
Author_Institution :
Artificial Intelligence Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
fDate :
6/21/1905 12:00:00 AM
Abstract :
Increasing usage of communication networks and quality of service requirements call for efficient management of these high-speed networks. We address the problem of bandwidth allocation planning of communication demands. Shortest path routing is the traditional technique applied to this problem. However, this approach can lead to poor network utilization and even congestion. We show how an abstraction technique combined with systematic search algorithms and heuristics derived from artificial intelligence make it possible to solve this problem better and in much tighter networks, from a bandwidth usage point of view
Keywords :
bandwidth allocation; planning (artificial intelligence); quality of service; telecommunication network management; telecommunication network planning; telecommunication network routing; QoS requirements; abstraction technique; artificial intelligence; bandwidth allocation planning; communication networks; heuristics; high-speed network; network management; quality of service requirements; shortest path routing; systematic search algorithms; Bandwidth; Channel allocation; Communication networks; High-speed networks; Intelligent networks; Quality of service; Rain; Resource management; Routing; Telecommunication traffic;
Conference_Titel :
Global Telecommunications Conference, 1999. GLOBECOM '99
Conference_Location :
Rio de Janeireo
Print_ISBN :
0-7803-5796-5
DOI :
10.1109/GLOCOM.1999.830023