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Internet indirection infrastructure

Stoica, Ion, Adkins, Daniel, Zhuang, Shelley, Shenker, Scott, Surana, Sonesh·2002·Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications

Abstract

Attempts to generalize the Internet's point-to-point communication abstraction to provide services like multicast, anycast, and mobility have faced challenging technical problems and deployment barriers. To ease the deployment of such services, this paper proposes an overlay-based Internet Indirection Infrastructure ( I3) that offers a rendezvous-based communication abstraction. Instead of explicitly sending a packet to a destination, each packet is associated with an identifier; this identifier is then used by the receiver to obtain delivery of the packet. This level of indirection decouples the act of sending from the act of receiving, and allows I3 to efficiently support a wide variety of fundamental communication services. To demonstrate the feasibility of this approach, we have designed and built a prototype based on the Chord lookup protocol.

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Metadata

Authors
Stoica, I., Adkins, D., Zhuang, S., Shenker, S., & Surana, S.
Venue
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Publisher
ACM
Published
2002-08-19
Pages
73-86
OpenAlex
W2120626294
Cited by
642
References
0
FWCI
29.84
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Internet indirection infrastructure. https://app.cochat.ai/papers/10.1145/633025.633033
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Stoica, I., Adkins, D., Zhuang, S., Shenker, S., & Surana, S. (2002). Internet indirection infrastructure. Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications. https://doi.org/10.1145/633025.633033

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.