具有服务质量的软件定义网络中的智能自适应路由算法

D. Perepelkin, M. Ivanchikova
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引用次数: 0

摘要

目前,信息技术和计算机网络中最流行的方法是软件定义网络(SDN)技术。它的主要特点是数据平面和控制平面层次的分离,以及对网络应用的服务质量(QoS)的特定要求的支持。本工作的目的是在SDN中开发支持QoS的智能自适应路由算法。该算法基于复合LARAC度量,带宽可以保持不变,传输延迟的影响随控制系数的变化而变化。为了实现该算法,对不同的神经网络结构进行了对比分析和实验研究。提出了一个支持多QoS参数的SDN最优路由搜索精度最高的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Adaptive Routing Algorithm in Software Defined Networks with Quality of Service
Currently, the most popular approach in information technology and computer networks is technology of software defined networks (SDN). Its main feature is separation of data plane and control plane levels, as well as support of specified requirements for the quality of service (QoS) of network applications. The aim of this work is the development of intelligent adaptive routing algorithm in SDN with support QoS. Proposed algorithm based on using a composite LARAC metric in that the bandwidth can be constant and the effect of transmission delay varies depending on the control coefficient. To implement the algorithm comparative analysis and experimental research of different neural network architectures were carried out. Also a model that allows the highest accuracy of optimal routes search in SDN with support multiple QoS parameters was developed.
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