IEEE/ACM Transactions on Networking (TON)
End-to-end routing behavior in the Internet
IEEE/ACM Transactions on Networking (TON)
Measurements and analysis of end-to-end Internet dynamics
Measurements and analysis of end-to-end Internet dynamics
Analysis of link failures in an IP backbone
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Experimental Study of Internet Stability and Backbone Failures
FTCS '99 Proceedings of the Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing
Measuring ISP topologies with rocketfuel
IEEE/ACM Transactions on Networking (TON)
A measurement study on the impact of routing events on end-to-end internet path performance
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Avoiding traceroute anomalies with Paris traceroute
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Understanding network delay changes caused by routing events
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Observing the evolution of internet as topology
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Managing routing disruptions in Internet service provider networks
IEEE Communications Magazine
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The Internet consists of a constantly evolving complex hierarchical architecture where routers are grouped into autonomous systems (ASes) that interconnect to provide global connectivity. Routing is generally performed in a decentralized fashion, where each router determines the route to the destination based on the information gathered from neighboring routers. Consequently, the impact of a route update broadcasted by one router may affect many other routers, causing an avalanche of update messages broadcasted throughout the network. In this paper we analyze an extensive dataset with measurements on Internet routes between a set of highly stable testboxes for a period of five years. The measurements provide insight into the coherence between routing events in the Internet and we argue that the routing dynamics exhibit self-organized criticality (SOC). The SOC property provides an explanation for the power-law behavior that we observe in the operational times of routes.