Schemes for fault identification in communication networks
IEEE/ACM Transactions on Networking (TON)
Probabilistic fault localization in communication systems using belief networks
IEEE/ACM Transactions on Networking (TON)
Shrink: a tool for failure diagnosis in IP networks
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
In VINI veritas: realistic and controlled network experimentation
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
PlanetSeer: internet path failure monitoring and characterization in wide-area services
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Network loss inference with second order statistics of end-to-end flows
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
NetDiagnoser: troubleshooting network unreachabilities using end-to-end probes and routing data
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Studying black holes in the internet with Hubble
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Network Tomography of Binary Network Performance Characteristics
IEEE Transactions on Information Theory
Measurement methods for fast and accurate blackhole identification with binary tomography
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Detecting the performance impact of upgrades in large operational networks
Proceedings of the ACM SIGCOMM 2010 conference
California fault lines: understanding the causes and impact of network failures
Proceedings of the ACM SIGCOMM 2010 conference
A cooperative network monitoring overlay
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
A comparison of syslog and IS-IS for network failure analysis
Proceedings of the 2013 conference on Internet measurement conference
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This paper investigates the practical issues in applying network tomography to monitor failures. We outline an approach for selecting paths to monitor, detecting and confirming the existence of a failure, correlating multiple independent observations into a single failure event, and applying existing binary networking tomography algorithms to identify failures. We evaluate the ability of network tomography algorithms to correctly detect and identify failures in a controlled environment on the VINI testbed.