ADDITIONAL DIAGNOSTICS OF ANOMALIES WHEN MONITORING A DYNAMIC COMPUTER NETWORK USING WORKING SCENARIOS
The problem of timely response to emerging anomalies in the computer network is considered, taking into account changes in the number of observed network nodes. In cases of changes in the number of observed nodes it is necessary to adjust the boundaries of the anomaly clustering ranges of the computer network. The method proposed in the paper to adjust the boundaries of anomaly clustering ranges taking into account the total number of observed nodes and the set triggers allows a flexible additional diagnosis of anomalies in a dynamic computer network. Once the anomaly class has been identified or predicted, the next step is to select tools to prevent the anomaly from occurring or to eliminate its consequences. To this end, this paper proposes a method for selecting auxiliary tools for additional diagnostics of computer network operation using work scenarios. Based on the results of additional diagnostics, the system engineer is informed. Both methods allow you to automate the process of detecting anomalies in the computer network and improve the reliability and quality of its work.
Authors: M. I. Avilov, Yu. A. Shichkina
Direction: Informatics, Computer Technologies And Control
Keywords: Network monitoring system, dynamic computer network, computer network monitoring, diagnostics module, anomaly clustering
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