Using neural network in distributed management to identify control and management plane poison messages

Xiaojiang Du, Mark A. Shayman, Ronald A. Skoog

Research output: Contribution to conferencePaperpeer-review

Abstract

Poison message failure propagation is a mechanism that has been responsible for large scale failures in both telecommunications and IP networks: Some or all of the network elements have a software or protocol 'bug' that is activated on receipt of a certain network control or management message (the poison message). This activated 'bug' will cause the node to fail with some probability. If the network control or management is such that this message is persistently passed among the network nodes, and if the node failure probability is sufficiently high, large-scale instability can result. Our previous research has been focused on centralized network management paradigm. In centralized management, one of the effective tools to deal with poison message failure is the neural network approach. However, a centralized scheme cannot be applied if the network is partitioned into several subnetworks by node failures. In this paper, we consider distributed management for the poison message problem. In particular, we use the neural network approach in a distributed way to identify the poison message.

Original languageEnglish
Pages458-463
Number of pages6
StatePublished - 2003
EventMILCOM 2003 - 2003 IEEE Military Communications Conference - Monterey, CA, United States
Duration: 13 Oct 200316 Oct 2003

Conference

ConferenceMILCOM 2003 - 2003 IEEE Military Communications Conference
Country/TerritoryUnited States
CityMonterey, CA
Period13/10/0316/10/03

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