Facilitating effective resource publishing and searching in DHT networks

Xu, Quanqing, Hou, Xiaoxiao, Cui, Bin, Shen, Heng Tao and Dai, Yafei (2009) Facilitating effective resource publishing and searching in DHT networks. Transactions Hong Kong Institution of Engineers, 16 3: 32-41. doi:10.1080/1023697X.2009.10668164


Author Xu, Quanqing
Hou, Xiaoxiao
Cui, Bin
Shen, Heng Tao
Dai, Yafei
Title Facilitating effective resource publishing and searching in DHT networks
Journal name Transactions Hong Kong Institution of Engineers   Check publisher's open access policy
ISSN 1023-697X
Publication date 2009
Year available 2009
Sub-type Article (original research)
DOI 10.1080/1023697X.2009.10668164
Open Access Status
Volume 16
Issue 3
Start page 32
End page 41
Total pages 10
Place of publication Abingdon, Oxfordshire, United Kingdom
Publisher Taylor and Francis
Collection year 2010
Language eng
Subject 2200 Engineering
Formatted abstract
 As a structured overlay network, DHT (Distributed Hash Table) has been widely used in P2P systems. Existing resource publishing algorithms, including One-step publishing in eMule, do not completely exploit features of DHTs and incur heavy network load. In this paper, we propose a novel resource publishing algorithm: Step-by-step publishing, in DHT networks. It is more effective and scalable with lower network load than the existing publishing algorithms. We also utilise the techniques of vector space model and user relevance feedback to optimise the Step-bystep publishing algorithm, which effectively improves search hit ratio and reduces network load. After analysing the dynamics of P2P systems, we present index maintenance schemes under highly dynamic P2P networks. Based on real datasets from Maze system, simulation experiment results show that this proposed approach has low network overhead and publishing cost, high search and download hit ratio.
Keyword Index maintenance
Optimisations
Searching
Step-by-step publishing
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
 
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