基于人工蜂群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, Tin Nguyen
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引用次数: 1

摘要

软件定义网络(SDN)是一种面向云计算的方式,通过软件程序集中管理网络设备,简化网络管理,实现高效的网络配置,从而提高网络性能,增强网络监控能力。在SDN网络中,管理员可以从一个中央控制器控制流量,而不必在网络中的每个单独设备上设置流量。SDN控制器可以实时接收链路信息,并根据当前网络情况对网络流量进行分配和传输。本研究的目的是研究和分析基于人工蜂群算法的SDN多径路由和负载均衡过程。在理论部分,提出了一种基于人工蜂群模型的SDN多径路由和负载均衡算法。实验部分的仿真结果验证了该算法解决多路径路由问题的有效性,避免了路由拥塞,并增加了所有可用路由上的数据包传输计划量。
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 Artificial Bee Colony Algorithm
Software defined network (SDN) is a cloud computing-oriented approach, that centralizes network device administration, facilitates network management and enables efficient network configuration by software programs to improve performance and enhance network monitoring. In SDN network administrators can shape traffic from a centralized controller without having to set it up on each individual device in the network. The SDN controller can receive information about the links in real-time, as well as distribute and transmit network traffic according to the current network. The aim of this work is research and analysis of multipath routing and load balancing processes in SDN based on artificial bee colony algorithm. In theoretical part an algorithm for multipath routing and load balancing in the SDN based on the model of an artificial bee colony is proposed. In experimental part the simulation results are showed that confirm the effectiveness of the proposed algorithm for solving the problem of multipath routing by avoiding congestion of routes and increasing the planned volume of data packet transmission along all available routes.
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