On inferring autonomous system relationships in the internet
IEEE/ACM Transactions on Networking (TON)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Learning-based anomaly detection in BGP updates
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
BGP routing dynamics revisited
ACM SIGCOMM Computer Communication Review
Design and implementation of TCP data probes for reliable and metric-rich network path monitoring
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
Analysis of country-wide internet outages caused by censorship
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Impact of Tohoku earthquake on R&E network in Japan
Proceedings of the Special Workshop on Internet and Disasters
The Japan earthquake: the impact on traffic and routing observed by a local ISP
Proceedings of the Special Workshop on Internet and Disasters
Distributed systems and natural disasters: BitTorrent as a global witness
Proceedings of the Special Workshop on Internet and Disasters
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The Internet is designed to survive when some of its components become faulty. Rerouting is an important approach to bypassing faulty links. In this paper, we propose a method to characterize inter-domain rerouting as a result of the massive earthquake in Japan on March 2011. Moreover, the characterization helps correlate inter-domain rerouting events and end-to-end path-quality degradation measured in Hong Kong. We analyse the variation of AS betweenness centrality extracted from BGP data to identify the time span when most routes changed, the ASes that were most seriously affected, and the correlative and backup paths. The results show that three major providers of inbound traffic to Hong Kong were affected by unstable routing state caused by a cable fault after the earthquake. Our work provides a new method of utilizing control plane's information to diagnose data plane's problem.