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Cluster Computing
Published in: Cluster Computing 5/2019

04-01-2018

An improved neighbor cooperation using adjacent node cooperation in peer to peer networks

Authors: S. Raju, M. Chandrasekaran

Published in: Cluster Computing | Special Issue 5/2019

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Abstract

The peer-to-peer (P2P) computation is that resource of the computer where sharing takes place through direct exchange. A Computational optimization is now getting much more prevalent in various fields in which there are simple solutions to a problem that are analytical. The swarm intelligence is defined as the behaviour of the artificial, natural, self-organized and decentralized systems. The multi-objective optimization (MOO) also known as the vector optimization is optimized in place of a single objective. The artificial fish swarm optimization (AFSA) has a search capacity that is global and also has a strong robustness being insensitive to the initial values. In this study the MOO has been hybridized by a simulated annealing using a k-means clustering and the AFSA by means of using the cooperation of neighbours. This multi-objective system helps in easing the difficulties of being sensitive to the initial solutions. This paper introduces an AFSA multi-objective system that promises to improve the neighbour cooperation in the application of P2P network.
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Metadata
Title
An improved neighbor cooperation using adjacent node cooperation in peer to peer networks
Authors
S. Raju
M. Chandrasekaran
Publication date
04-01-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 5/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1607-8

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