Increasing resilience of ATM networks using traffic monitoring and automated anomaly analysis

White, K. .J.S., Pezaros, D. P. and Johnson, C. W. (2012) Increasing resilience of ATM networks using traffic monitoring and automated anomaly analysis. In: 2nd International Conference on Application and Theory of Automation in Command and Control Systems, Imperial College, London, 29-31 May 2012,

Abstract

Systematic network monitoring can be the cornerstone for the dependable operation of safety-critical distributed systems. In this paper, we present our vision for informed anomaly detection through network monitoring and resilience measurements to increase the operators' visibility of ATM communication networks. We raise the question of how to determine the optimal level of automation in this safety-critical context, and we present a novel passive network monitoring system that can reveal network utilisation trends and traffic patterns in diverse timescales. Using network measurements, we derive resilience metrics and visualisations to enhance the operators' knowledge of the network and traffic behaviour, and allow for network planning and provisioning based on informed what-if analysis.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Johnson, Professor Chris and Pezaros, Professor Dimitrios
• Authors: White, K. .J.S., Pezaros, D. P., and Johnson, C. W.
• College/School: College of Science and Engineering > School of Computing Science
• Copyright Holders: Copyright © 2012 The Authors
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher