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Cited by 1,923

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Chord: A scalable peer-to-peer lookup service for internet applications

Stoica, Ion, Morris, Robert, Karger, David, Kaashoek, M. Frans, Balakrishnan, Hari·2001·ACM SIGCOMM Computer Communication Review

Abstract

A fundamental problem that confronts peer-to-peer applications is to efficiently locate the node that stores a particular data item. This paper presents Chord , a distributed lookup protocol that addresses this problem. Chord provides support for just one operation: given a key, it maps the key onto a node. Data location can be easily implemented on top of Chord by associating a key with each data item, and storing the key/data item pair at the node to which the key maps. Chord adapts efficiently as nodes join and leave the system, and can answer queries even if the system is continuously changing. Results from theoretical analysis, simulations, and experiments show that Chord is scalable, with communication cost and the state maintained by each node scaling logarithmically with the number of Chord nodes.

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Metadata

Authors
Stoica, I., Morris, R., Karger, D., Kaashoek, M. F., & Balakrishnan, H.
Venue
ACM SIGCOMM Computer Communication Review
Published
2001-08-27
Volume
31
Issue
4
Pages
149-160
ISSN
0146-4833 (ISSN-L)
OpenAlex
W4250390143
Cited by
1,923
References
8
FWCI
56.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chord: A scalable peer-to-peer lookup service for internet applications. https://app.cochat.ai/papers/10.1145/964723.383071
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Stoica, I., Morris, R., Karger, D., Kaashoek, M. F., & Balakrishnan, H. (2001). Chord: A scalable peer-to-peer lookup service for internet applications. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/964723.383071

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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.