Wide area network design: concepts and tools for optimization
Wide area network design: concepts and tools for optimization
OSPF: Anatomy of an Internet Routing Protocol
OSPF: Anatomy of an Internet Routing Protocol
BGP4: Inter-Domain Routing in the Internet
BGP4: Inter-Domain Routing in the Internet
BGP routing stability of popular destinations
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Implications of the topological properties of Internet traffic on traffic engineering
Proceedings of the 2004 ACM symposium on Applied computing
Dynamics of hot-potato routing in IP networks
Proceedings of the joint international conference on Measurement and modeling of computer systems
Network sensitivity to hot-potato disruptions
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Traffic matrix reloaded: impact of routing changes
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Modeling the routing of an autonomous system with C-BGP
IEEE Network: The Magazine of Global Internetworking
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Network robustness is something all providers are striving for without being able to know all the aspects it encompasses. A key aspect of network design is the sensitivity of the network to internal failures. In this paper we present an open-source tool implementing the sensitivity model of [1], allowing network operators to study the sensitivity of their network to internal failures. We apply our methodology on the GEANT network, and we show that some of the routers and links of GEANT are sensitive to internal failures. Our results indicate that improvements can be made to the network design so as to reduce the risk of disruptions due to internal failures. Furthermore, we show great consistency between the results of the control plane and the data plane, indicating that applying the analysis on the control plane might be sufficient to provide insight into how to improve the resilience of the network to internal failures.