基于鸟类迁移算法的软件定义网络多路径路由与负载均衡过程研究

D. Perepelkin, M. Ivanchikova, Tin Nguyen
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引用次数: 3

摘要

软件定义网络(sdn)技术允许在软件层面管理网络,扩展功能以控制网络中的数据传输过程。sdn提供了一个新的网络应用程序抽象级别,以提供一定级别的服务质量。本研究的目的是开发一种科学的方法来研究基于鸟类迁移算法(BMA)的sdn中的多路径路由和负载均衡。本文研究并分析了解决sdn中多路径路由问题的鸟类迁移算法。开发了一个可视化软件系统SDN loadbalancer,并设计了一个实验性SDN拓扑,从而可以详细研究基于该方法的SDN中的多径路由过程。本文还将该方法与遗传算法和人工蜂群算法的结果进行了比较。得到的结果表明,该方法在sdn下是有效的,可以在可接受的时间内获得接近最优的结果,并且减少了网络中的传输延迟抖动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Multipath Routing and Load Balancing Processes in Software Defined Networks Based on Bird Migration Algorithm
Technology software defined networks (SDNs) allows managing the network at the software level, expanding the functionality to control the process of data transfer in the network. SDNs provide a new level of network application abstraction to provide a level of quality of service. The purpose of the work is to develop a scientific approach to the study of multipath routing and load balancing in the SDNs based on the bird migration algorithm (BMA). The article studies and analyzes the bird migration algorithm to solve the problem of multipath routing in the SDNs. A visual software system SDNLoadBalancer has been developed and an experimental SDN topology has been designed, which makes it possible to study in detail the processes of multipath routing in the SDNs based on the proposed approach. The article also compares the proposed approach with the results of the genetic algorithm and the artificial bee colony algorithm. The obtained results show the effectiveness of the proposed approach in the SDNs, made it possible to obtain results close to optimal in an acceptable time, and also reduce the transmission delay jitter in the network.
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