Cayley DHTs: A group-theoretic framework for analyzing DHTs based on Cayley graphs

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Original languageEnglish
Title of host publicationISPA 2004
Subtitle of host publicationParallel and Distributed Processing and Applications
Pages914-925
Number of pages12
ISBN (electronic)978-3-540-30566-8
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Volume3358
ISSN (Print)0302-9743

Abstract

Static DHT topologies influence important features of such DHTs such as scalability, communication load balancing, routing efficiency and fault tolerance. While obviously dynamic DHT algorithms which have to approximate these topologies for dynamically changing sets of peers play a very important role for DHT networks, important insights can be gained by clearly focussing on the static DHT topology as well. In this paper we analyze and classify current DHTs in terms of their static topologies based on the Cayley graph group-theoretic model and show that most DHT proposals use Cayley graphs as static DHT topologies, thus taking advantage of several important Cayley graph properties such as vertex/edge symmetry, decomposability and optimal fault tolerance. Using these insights, Cayley DHT design can directly leverage algebraic design methods to generate high-performance DHTs adopting Cayley graph based static DHT topologies, extended with suitable dynamic DHT algorithms.

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Cayley DHTs: A group-theoretic framework for analyzing DHTs based on Cayley graphs. / Qu, Changtao; Nejdl, Wolfgang; Kriesell, Matthias.
ISPA 2004: Parallel and Distributed Processing and Applications. 2004. p. 914-925 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3358).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Qu, C, Nejdl, W & Kriesell, M 2004, Cayley DHTs: A group-theoretic framework for analyzing DHTs based on Cayley graphs. in ISPA 2004: Parallel and Distributed Processing and Applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3358, pp. 914-925. https://doi.org/10.1007/978-3-540-30566-8_105
Qu, C., Nejdl, W., & Kriesell, M. (2004). Cayley DHTs: A group-theoretic framework for analyzing DHTs based on Cayley graphs. In ISPA 2004: Parallel and Distributed Processing and Applications (pp. 914-925). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3358). https://doi.org/10.1007/978-3-540-30566-8_105
Qu C, Nejdl W, Kriesell M. Cayley DHTs: A group-theoretic framework for analyzing DHTs based on Cayley graphs. In ISPA 2004: Parallel and Distributed Processing and Applications. 2004. p. 914-925. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30566-8_105
Qu, Changtao ; Nejdl, Wolfgang ; Kriesell, Matthias. / Cayley DHTs : A group-theoretic framework for analyzing DHTs based on Cayley graphs. ISPA 2004: Parallel and Distributed Processing and Applications. 2004. pp. 914-925 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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