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Peer-to-Peer Networking and Applications

Erschienen in:

01.01.2015

An efficient and distributed file search in unstructured peer-to-peer networks

verfasst von: Mohammad Shojafar, Jemal H. Abawajy, Zia Delkhah, Ali Ahmadi, Zahra Pooranian, Ajith Abraham

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 1/2015

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Abstract

Peer-to-peer (P2P) networks are gaining increased attention from both the scientific community and the larger Internet user community. Data retrieval algorithms lie at the center of P2P networks, and this paper addresses the problem of efficiently searching for files in unstructured P2P systems. We propose an Improved Adaptive Probabilistic Search (IAPS) algorithm that is fully distributed and bandwidth efficient. IAPS uses ant-colony optimization and takes file types into consideration in order to search for file container nodes with a high probability of success. We have performed extensive simulations to study the performance of IAPS, and we compare it with the Random Walk and Adaptive Probabilistic Search algorithms. Our experimental results show that IAPS achieves high success rates, high response rates, and significant message reduction.

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Titel: An efficient and distributed file search in unstructured peer-to-peer networks
verfasst von: Mohammad Shojafar
Jemal H. Abawajy
Zia Delkhah
Ali Ahmadi
Zahra Pooranian
Ajith Abraham
Publikationsdatum: 01.01.2015
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 1/2015
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-013-0236-0

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