IconoNET: a tool for automated bandwidth allocation planning

Communication networks are expected to offer a wide range of services to an increasingly large number of users, with a diverse range of quality of service. This calls for efficient control and management of these networks. In this paper, we address the problem of quality-of-service routing, more specifically the planning of bandwidth allocation to communication demands. Shortest path routing is the traditional technique applied to this problem. However, this can lead to poor 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 more efficiently and in much tighter networks, in terms of bandwidth usage. Keywords Quality of Service routing, constraint-based routing, resource allocation planning, ion, constraint satisfaction problem.

• Type: Conference
• Year: 2000
• Where: NOMS
• Authors: Christian Frei, Boi Faltings, George Melissargos, Pearl Pu
• Keywords: Communication Networks, Communications, Constraint Satisfaction Problem, NOMS 2000, Shortest Path Routing