Resources NeuroSearch in Peer-to-Peer Networks

被引：0
|
作者：
Corbalan, Leonardo [1 ]
Lanzarini, Laura [1 ]
De Giusti, Armando [1 ]
机构：
[1] Natl Univ La Plata, Fac Comp Sci, III LIDI Inst Res Comp Sci LIDI, La Plata, Buenos Aires, Argentina
来源：
PROCEEDINGS OF THE ITI 2009 31ST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES | 2009年
关键词：
Distributed Systems; Peer-to-Peer Networks; Gnutella-like Systems; Resource Discovery; Neural Networks;
D O I：
10.1109/ITI.2009.5196154
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Unstructured Peer-to-Peer (P2P) networks as Gnutella are dynamic, distributed systems without any centralizing point favoring failure tolerance and strength. However, resource search in these systems is an important problem. Gnutella's breadth-first search algorithm is flooding-based and generates a large amount of traffic thus making scalability difficult. This paper proposes a new search algorithm in which nodes, assisted by their local neuronal networks, selectively send the query to the most appropriate subsets of neighbors only. Hence, Gnutella algorithm is significantly improved and provides a greater percentage of findings with less amount of traffic generated on P2P network.
引用
收藏
页码：597 / 602
页数：6
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