Analysis of Path Convergence in Chord DHT

Authors

  • Vladimir Rocha Center for Mathematics, Computing and Cognition, Federal University of ABC, Santo André, SP, Brazil https://orcid.org/0000-0002-0183-2787
  • Daniel Czeresnia Center for Mathematics, Computing and Cognition, Federal University of ABC, Santo André, SP, Brazil
  • Carlo Kleber da Silva Rodrigues Center for Mathematics, Computing and Cognition, Federal University of ABC, Santo André, SP, Brazil https://orcid.org/0000-0003-1231-6953

DOI:

https://doi.org/10.37256/cnc.2220244753

Keywords:

Chord, path convergence, Distributed Hash Table, replication

Abstract

Chord is a Distributed Hash Table widely used for its efficiency in searching for information. The efficiency of this structure relies on creating short paths of O(log2 n) between two nodes, in which n is the number of nodes. To enhance efficiency, several studies use replication in the nodes belonging to the network, assuming that searches will converge in these replicated nodes. This work proposes a convergence formula and analyzes the number of searches converging on nodes for different network sizes (small, medium, and large), up to one million nodes. The experiments show that the convergence creates three zones and the results support the replication techniques from previous studies and demonstrate that it is feasible to replicate in nodes that were not considered in these studies.

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Published

2024-07-25

How to Cite

Rocha, V., Czeresnia, D., & Kleber da Silva Rodrigues, C. (2024). Analysis of Path Convergence in Chord DHT. Computer Networks and Communications, 2(2), 59–72. https://doi.org/10.37256/cnc.2220244753