A framework for scalable global IP-anycast (GIA)
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
The click modular router
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Towards a global IP anycast service
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Lazy flooding: a new technique for information dissemination in distributed network systems
IEEE/ACM Transactions on Networking (TON)
ns2-MIRACLE: a modular framework for multi-technology and cross-layer support in network simulator 2
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
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Support for anycast in the IP network layer allows one source node to contact a single member out of a group of destination nodes configured with the same IP address. Due to the stateless nature of the IP protocol, subsequent packets from the same source node targeted at the same anycast group may arrive at different group members. Consequently, native IP anycast cannot be applied directly to support distributed session-based services. For this reason, an anycast overlay architecture combining the transparency offered by native anycast with support for stateful communications has been proposed. In this paper, we investigate the operational impact of deploying this overlay architecture. Performance evaluation of a data plane prototype implementation for an anycast overlay node shows that high throughput and small latency can be achieved. Additionally, we show how threshold-based update triggering, in combination with an appropriate inter-proxy update strategy, delivers control plane accuracy with minimal network overhead.