Routing algorithms based on shortest paths

D. Bertsekas
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Abstract

This talk is an overview of adaptive quasistatic routing algorithms for communication network that are based on shortest path computations. We first consider single path algorithms such as the one currently operating on the ARPANET and highlights their advantages and inherent limitations. We then focus on an algorithm that allows multipath routing. During the algorithm each node maintains a list of paths along which it sends traffic to each destination together with a list of fractions of total traffic that are sent along these paths. At each iteration a minimum marginal delay path to each destination is computed and added to the current list if not already there. Simultaneously the corresponding fractions are updated in a way that reduces average delay per message. The algorithm is capable of employing second derivates of link delay functions thereby providing automatic scaling with respect to traffic input level. It can be implemented in both a distributed and centralized manner, and it can be shown to converge to an optimal routing at a linear rate.
基于最短路径的路由算法
本讲座概述了基于最短路径计算的通信网络自适应准静态路由算法。我们首先考虑单路径算法,例如目前在阿帕网上运行的算法,并强调它们的优点和固有的局限性。然后我们将重点讨论允许多路径路由的算法。在算法期间,每个节点维护一个路径列表,它沿着这些路径向每个目的地发送流量,以及沿着这些路径发送的总流量的一小部分列表。在每次迭代中,计算到每个目的地的最小边际延迟路径,并将其添加到当前列表中(如果不存在)。同时,相应的分数以减少每条消息的平均延迟的方式更新。该算法能够采用链路延迟函数的二阶导数,从而提供相对于流量输入水平的自动缩放。它可以以分布式和集中式两种方式实现,并且可以以线性速率收敛到最优路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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