Schemes for fault identification in communication networks
IEEE/ACM Transactions on Networking (TON)
A coding approach to event correlation
Proceedings of the fourth international symposium on Integrated network management IV
Yemanja—A Layered Fault Localization System for Multi-Domain Computing Utilities
Journal of Network and Systems Management
Probabilistic fault diagnosis in communication systems through incremental hypothesis updating
Computer Networks: The International Journal of Computer and Telecommunications Networking
High speed and robust event correlation
IEEE Communications Magazine
Performance Problem Determination Using Combined Dependency Analysis for Reliable System
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
DRACA: decision support for root cause analysis and change impact analysis for CMDBs
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
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A mobile ad hoc network creates a dynamic environment where node mobility can cause periodic changes in routes. Most existing fault localization algorithms assume availability of a complete and/or deterministic dependency model. Such assumptions cannot be made in the dynamically changing networks. This paper is aimed at developing a fault diagnosis architecture and algorithm to address the issue of dynamically changing dependencies in networks. We propose an architecture to capture the changes in dependencies and introduce a temporal correlation algorithm to perform fault diagnosis with the dynamically changing dependency information. We present an experimental evaluation of our work through simulation results using Qualnet.