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Fuzzy relation lexicographic programming for modelling P2P file sharing system

机译:用于建模P2P文件共享系统的模糊关系词典编程

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摘要

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.
机译:考虑到最大下载速度的要求,可以将点对点(P2P)文件共享系统减少到MAX-MIN模糊关系不等式中。 为了在终端的某些固定优先级等级下降低网络拥塞,提出了模糊关系词典编程来模拟P2P文件共享系统。 为了解决所提出的问题,我们定义了可行索引集的概念并讨论了一些简单的属性。 基于可行的索引集,开发了一种新颖的算法来找到具有说明性示例的最佳解决方案。

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