基于用户空间的OpenFlow协议(OFUS)

Alzilal Kamal Algezoly, F. Abdulrazzak, Sharaf A. Alhomdy
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引用次数: 0

摘要

近年来,在网络领域有一个普遍的趋势,即使用可编程网络。软件定义网络(SDN)是目前最受关注的网络类型之一,它基于控制平面和数据平面分离的原则。这反过来又使网络控制通过一个由称为OpenFlow的协议管理的集中控制器进行集中和可编程。当使用主要的OpenFlow协议时,每次传输数据包时,在创建通信通道过程中的时间使用挑战变得明显。因此,本研究拟提出一种增强算法,通过整合在操作系统中成功的用户空间思想并在SDN网络中激活它来提高网络性能。在往返时间(RTT)和网络吞吐量作为性能测量指标方面,对基于用户空间(OFUS)的OpenFlow进行了分析,并与支持OpenFlow的SDN网络进行了比较。利用开源的Mininet网络模拟器进行了对比分析。利用开源Mininet网络模拟器对四种类型的拓扑结构进行了对比分析。增强的OFUS算法的结果表明,与启用openflow的网络相比,网络的RTT和吞吐量性能得到了改善。单拓扑、线性拓扑、树拓扑和自定义拓扑的RTT分别为40.3%、36.2%、51%和20.4%,吞吐量分别为65.4%、57%、104.2%和25.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OpenFlow Protocol Based on UserSpace (OFUS)
In recent years, there is a general tendency in the field of networking to use programmable networks. One of the most important types of networks that have gained more attention is the Software Defined Networks (SDN), which is based on the principle of separation between the control plane and the data plane. This in turn made the network control centralized and programmable through a centralized controller that is managed by a protocol called OpenFlow. When the main OpenFlow protocol is used, the challenge of time usage in the process of creating communication channels becomes evident each time packets are transmitted. Therefore, this research intends to propose an enhanced algorithm to improve the network performance by integrating the idea of userspace that was successful with operating systems and activating it within SDN networks. The proposed OpenFlow based on UserSpace (OFUS) has been analyzed and compared to the OpenFlow-enabled SDN networks in terms of Round Trip Time (RTT) and the network throughput as performance measurements. The comparative analysis was made by using the open-source Mininet network simulator. The comparative analysis done by using open-source Mininet network simulator on four types of topologies. The results of the enhanced algorithm OFUS showed that the performance of the network has been improved for the RTT and throughput compare to OpenFlow-enabled networks. The RTT in single, linear, tree and custom topologies are 40.3%, 36.2%, 51% and 20.4% whereas throughput 65.4%, 57%, 104.2% and 25.6% respectively.
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