B-Neck:一种分布式静态最大最小公平算法

A. Mozo, José Luis López-Presa, Antonio Fernández
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引用次数: 3

摘要

在一组会话中公平分配网络容量的问题已经得到了广泛的研究。在这个问题中,每个会话通过单一路径连接源和目的地,其目标是最大化其分配的传输速率(即吞吐量)。由于网络链路的带宽有限,因此必须定义一些标准,以便在会议之间公平地分配它们的容量。一个流行的标准是最大最小公平性,简而言之,它保证每个会话i获得一个速率i,这样任何会话都不能在不导致其他会话'以速率'结束的情况下增加速率i。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
B-Neck: A Distributed and Quiescent Max-Min Fair Algorithm
The problem of fairly distributing the capacity of a network among a set of sessions has been widely studied. In this problem, each session connects via a single path a source and a destination, and its goal is to maximize its assigned transmission rate (i.e., its throughput). Since the links of the network have limited bandwidths, some criterion has to be defined to fairly distribute their capacity among the sessions. A popular criterion is max-min fairness that, in short, guarantees that each session i gets a rate ?i such that no session s can increase ?s without causing another session s' to end up with a rate ?s'
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