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Node reachability estimation by eavesdropping

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Abstract

Traditionally, management stations check the reachability of network nodes by polling them at regular intervals. This method is rather costly regarding network load and CPU usage on the management station, especially when the number of nodes to check gets large. The measurements may also have been influenced by delays in intermediate communication paths. We propose a method that is based on special modules in network monitors that estimate reachabilities by looking at the traffic of nodes on the same segment as the monitor. The problem of relating network traffic to reachability estimates is solved by the use of self-learning neural networks. After training, the modules only need to send an alarm signal to a management station if they conclude a node is no longer reachable, thereby alleviating a management station of doing tests on machines that are perfectly reachable.

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Authors and Affiliations

  1. Department of Electical Engineering, Technical University of Delft, P.O. Box 5031, 2600, GA Delft, The Netherlands

    R. Kooijman

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  1. R. Kooijman
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Kooijman, R. Node reachability estimation by eavesdropping. Telecommunication Systems 4, 189–199 (1995). https://doi.org/10.1007/BF02110086

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  • DOI: https://doi.org/10.1007/BF02110086

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