SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Understanding BGP misconfiguration
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Route flap damping exacerbates internet routing convergence
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Observation and analysis of BGP behavior under stress
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Towards an accurate AS-level traceroute tool
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
The Temporal and Topological Characteristics of BGP Path Changes
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
A comparison of overlay routing and multihoming route control
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Locating internet routing instabilities
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Shadow configuration as a network management primitive
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
NetReview: detecting when interdomain routing goes wrong
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
| Hi-index | 0.00 |
Internet routing is plagued with several problems today, including chronic instabilities, convergence problems, and misconfiguration of routers. We believe that a first step towards making the Internet robust to these problems is by developing a systematic methodology for analyzing routing changes and inferring why they happen and where they originate. In this paper, we motivate the need as well as describe the design of an Internet health monitoring system that identifies the source of routing instabilities purely by passively observing routing updates from different vantage points. We believe such a system could be used to continuously infer the state of the network. Such inferences may then be used offline for network performance monitoring and troubleshooting, or online to improve path selection and damping of instability.