Routing enhancements based on evolutionary algorithm

Iulia-Maria Florea, L. Gheorghe, M. Cărăbaş, N. Tapus
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Abstract

OSPF is one of the most commonly used interior gateway protocols due to the ability to run between pieces of equipment produced by different vendors and its capacity of splitting the network into areas and fast convergence. In this paper, we propose an approach for setting OSPF weights, using Cisco onePK API, in order to minimize congestion in small networks. It is based on a genetic algorithm, combined with two evaluation functions. The first evaluation function is based on getting loads on links depending on costs, while the other is based on getting the maximum flow in the network. Information about link load is obtained through onePK SDK, a Software Defined Networking solution developed by Cisco.
基于进化算法的路由增强
OSPF是最常用的内部网关协议之一,因为它能够在不同厂商生产的设备之间运行,并且具有将网络划分为区域和快速收敛的能力。在本文中,我们提出了一种使用Cisco onePK API设置OSPF权重的方法,以尽量减少小型网络中的拥塞。该算法基于遗传算法,结合两个评价函数。第一个评估函数是基于根据成本获得链路上的负载,而另一个评估函数是基于获得网络中的最大流量。链路负载信息通过Cisco开发的软件定义网络解决方案onePK SDK获取。
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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