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Soft Computing
Erschienen in: Soft Computing 11/2019

17.05.2018 | Foundations

Fuzzy relation lexicographic programming for modelling P2P file sharing system

verfasst von: Yu-Bin Zhong, Gang Xiao, Xiao-Peng Yang

Erschienen in: Soft Computing | Ausgabe 11/2019

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Abstract

Considering the requirement of the biggest download speed, a Peer-to-Peer (P2P) file sharing system can be reduced into a system of max–min fuzzy relation inequalities. In order to decrease the network congestion under some fixed priority grade of the terminals, fuzzy relation lexicographic programming is proposed to model the P2P file sharing system. For solving the proposed problem, we define concept of feasible index set and discuss some simple properties. Based on the feasible index set, a novel algorithm is developed to find the optimal solution with an illustrative example.
Vorheriger Artikel Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies
Nächster Artikel On decidability and axiomatizability of some ordered structures

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Metadaten
Titel
Fuzzy relation lexicographic programming for modelling P2P file sharing system
verfasst von
Yu-Bin Zhong
Gang Xiao
Xiao-Peng Yang
Publikationsdatum
17.05.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 11/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3236-4

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