Proposal of a Flooding-based Flexible Search Method for Chord Networks

Keiichi Endo; Kensuke Kanetada; Dai Okano

Proposal of a Flooding-based Flexible Search Method for Chord Networks

Keiichi Endo * §

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Kensuke Kanetada

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Dai Okano

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amano

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Ehime University

Proposal of a Flooding-based Flexible Search Method for Chord Networks

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Abstract

Recently, peer-to-peer (P2P) network models have been attracting considerable attention. P2P models can be classified into structured and unstructured P2P models. Representative search methods for structured and unstructured P2P networks are Chord and Flooding, respectively. It is difficult to realize flexible search in Chord networks. On the other hand, a large number of query transmissions are required for Flooding. In this study, we propose a Flooding-based search method for Chord networks. Our method works separately from the traditional search method for Chord networks. It suppresses the transmission of redundant queries by considering the topological properties of the structured networks and enables flexible search in Chord networks. Through simulation experiments, we evaluate the performance of the proposed search method and show its effectiveness.

References

16 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Keiichi Endo, Kensuke Kanetada, Dai Okano, amano. 1970. "Proposal of a Flooding-based Flexible Search Method for Chord Networks". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 11).

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GJCST Volume 11 Issue 11

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Chord distributed hash tables Flooding overlay networks P2P

Classification

GJCST Classification I.2.1

Submission ReceivedJune 7, 2011
Peer Review Double Blind
Handling Editor
Accepted June 27, 2011
Published July 12, 2011

Version of record

v1.2

Issue date

July 6, 2011

Language

English

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Article Matrices

Total Score: 189

Country: Japan

Subject: Global Journal of Computer Science and Technology

Authors: Keiichi Endo, Kensuke Kanetada, Dai Okano, Kaname Amano (PhD/Dr. count: 0)

View Count (all-time): 285

Total Views (Real + Logic): 7336

Total Downloads (simulated): 506

Publish Date: 2011 07, Tue

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Total Views: 7.3K

Total Downloads: 506

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