Towards Designing and Implementing an Expert Network To Manage the Computer Communication Networks

This paper aimed to design and implement a new hybrid intelligent technique called expert network. The main purpose of this expert network is to use it as a management tool assist network administrator in his job regarding the monitoring process of network performance. Here, the management task that uses this expert network was how to detect a fault (i.e. fault detection) that may be occurred on a certain part of the network either on hardware or software where this fault can affect on the performance of the computer network as: delay, throughput, utilization. Our proposed expert network depends on using both feed forward Neural Network and CBR. The Multilayer feed forward NN is used to predict the upcoming or the next values of the network major parameters (as load, delay, throughput...etc), then this predicted value will produces a residual signal used for comparing the actual with the desired network parameter. According to the comparison results, the Expert Network will alter the network administrator with certain alarm if the difference between the actual and desired network parameter outside a certain range (threshold value, knowing that this threshold is suggested by the network administrator). Accordingly, the network administrator begins to take some action towards repairing the fault component. Efficiency of the proposed expert-network was examined through investigating the time of detecting a fault. This time was too short relative to the running time of the computer network.