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Software defined networks: Comparative analysis of topologies with ONOS

机译:软件定义的网络:使用ONOS对拓扑进行比较分析

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Traditionally, data center networks consisted of large number of switches and routers, which had limited view of the entire network. The hardware and software were coupled to the device to manage the traffic flows. This coupling leads to an expensive maintenance and lacks the capability for users to introduce new applications. The different services like Cloud are being used to converge data centers to a much more efficient network. For better innovative applications, Quality of Service (QoS), energy efficient and high-security networking, Software Defined Networks (SDN) has hence emerged as a solution. Software defined network supports the dynamic nature of networks while lowering operating costs through a much simpler hardware and software management. There are various network topologies that are formed in the real-time environment. The topologies included in this paper are custom, linear and torus. In a linear topology each switch is linked to a single host. Torus topology is similar to a mesh topology; the nodes are interconnected with each other. The round trip time (RTT) from the initial host to the end host of the network topology is analyzed. It is obtained that the RTT for Torus topology is lower compared to that of the linear topology. The controller for the analysis is Open Network Operating System (ONOS) controller, which is an upcoming controller being deployed in telecom industries.
机译:传统上,数据中心网络由大量的交换机和路由器组成,它们对整个网络的视野有限。硬件和软件已耦合到设备以管理流量。这种耦合导致昂贵的维护,并且缺乏用户引入新应用的能力。诸如Cloud之类的不同服务正在用于将数据中心融合到一个效率更高的网络中。对于更好的创新应用程序,服务质量(QoS),高能效和高安全性网络,软件定义网络(SDN)已成为一种解决方案。软件定义的网络支持网络的动态特性,同时通过更简单的硬件和软件管理来降低运营成本。实时环境中形成了各种网络拓扑。本文包含的拓扑是自定义,线性和环形。在线性拓扑中,每个交换机都链接到单个主机。环形拓扑类似于网状拓扑。节点彼此互连。分析了从网络拓扑的初始主机到最终主机的往返时间(RTT)。可以看出,与线性拓扑相比,Torus拓扑的RTT较低。分析的控制器是开放网络操作系统(ONOS)控制器,这是即将在电信行业中部署的控制器。

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