Abstract
A rule-based system has been built for automated control of a telecommunications network. The system has been tested with a simulation of the British Telecom trunk network, which it monitors and controls. Knowledge of network management is encoded as rules within a blackboard system (ARBS). At runtime, a model of the problem and its solution evolves in a global memory area, i.e. the blackboard. The knowledge-base is divided into separate modules, or knowledge sources, which may be rule-based or procedural. Different rule-based knowledge sources can use different inference mechanisms, whose merits are compared here. Four different aspects of network control have been addressed, along with the facility to reduce or disable previously issued commands. The delay in receiving a response to a request for routing information has been simulated with ARBS, and the intervening period used to perform other related tasks.
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