利用边界网关协议开发软件定义网络模型的路由技术研究

Banuka Dayapala, Palanisamy Vigneshwaran, S. Suthaharan
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引用次数: 0

摘要

软件定义网络(SDN)是一种将所有控制功能集中在一个地方的网络机会,通过集中决策改变了传统的网络架构。在SDN架构中,控制器在引导数据包时执行控制决策功能。与传统的路由协议不同,高效的路由协议需要高效的数据中心基础设施服务。网络数据平面与网络控制平面的分离是SDN在一种网络设计理念中所提倡的。传统网络将数据和控制平面混合在同一设备上,并迫使每个设备根据分布式路由协议做出自己的路由决策。本文采用HUB-SPOKE的概念开发了Microsoft Azure软件定义广域网(SD-WAN),以展示控制器的集中决策能力如何通过采用SPOKE网络来改变网络架构以及网络灵活性和编程能力。本研究还重点研究了控制器在网络工业中的关键地位。此外,我们分析了SD-WAN路由与传统路由在路由收敛时间方面的性能,并在Microsoft Azure Cloud Tenant的企业环境中使用实时SD-WAN解决了在各种网络拓扑中SDN路由比传统路由更有效的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Routing Techniques to Develop a Model for Software-Defined Networks using Border Gateway Protocol
Software-Defined Network (SDN) is a networking opportunity that brings together all control functions in one place and changes traditional network architecture by making centralized decisions. In SDN architecture, controllers perform control decision-making functions when directing packets. Unlike traditional routing protocols, efficient r outing protocols are required for efficient data center infrastructure services. The separation of the network data plane from the network control plane is advocated by SDN in a networking design concept. Traditional networks mix data and control planes on the same device and forcing each device to make its own routing decisions based on distributed routing protocols. In this paper, we develop Microsoft Azure Software Defined-Wide Area Networks (SD-WAN) with the concept of HUB-SPOKE to show how the controller’s centralized decision-making capability changes network architecture with network flexibility and programming capability by taking the SPOKE network. This research also focuses on the key status of controllers used in the network industry. Further, we analyze the performance of SD-WAN routing against conventional routing with respect to routing convergence time and address how much efficient SDN routing rather than the conventional routing in various network topology using real-time SD-WAN on corporate environment of Microsoft Azure Cloud Tenant.
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