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NW14J
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.
Keiichi Endo. 1970. \u201cProposal of a Flooding-based Flexible Search Method for Chord Networks\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 11): .
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Total Score: 149
Country: Japan
Subject: Uncategorized
Authors: Keiichi Endo, Kensuke Kanetada, Dai Okano, Kaname Amano (PhD/Dr. count: 0)
View Count (all-time): 124
Total Views (Real + Logic): 20393
Total Downloads (simulated): 10735
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
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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.
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