Resources neurosearch in peer-to-peer networks

Título:

Resources neurosearch in peer-to-peer networks

Autor:

Corbalán, Leonardo César

Colaboradores:

; Lanzarini, Laura Cristina; De Giusti, Armando Eduardo

Temas:

REDES NEURONALESSISTEMAS DISTRIBUIDOS

En:

International Information Technology Interfaces (31º : 2009 jun. 22-25 : Dubrovnik,Croacia). IEEE, pp. 597-602.

Resumen:

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.

URL/DOI:

http://dx.doi.org/10.1109/ITI.2009.5196154

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (163,2 kB)

Idioma:

Inglés

Publicación:

IEEE Press, 2009

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