基于不同网络拓扑结构的软件定义网络性能评估

计算机工程与设计 Pub Date : 2021-09-24 DOI:10.1109/SEEDA-CECNSM53056.2021.9566213

Nikolaos V. Oikonomou, S. Margariti, E. Stergiou, D. Liarokapis

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引用次数: 0

摘要

本工作通过模拟演示了在典型网络拓扑上进行的软件定义网络(SDN)测试的性能结果。具体来说，检查的性能指标包括:拓扑设置和拆除时间、系统的CPU和RAM使用以及节点之间数据包传输的延迟。整个调查是在使用虚拟机运行Mininet模拟器的Windows PC上进行的。从对结果的细致分析来看，值得一提的是:(1)SDN架构中交换机总数对CPU负载的影响很大。(ii) RAM(随机存取内存)的消耗取决于主机的数量，在过载的情况下，与CPU的使用相比，它显示出更高的增长。(iii)总体性能在很大程度上取决于拓扑类型及其性质。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance Evaluation of Software-Defined Networking Implemented on Various Network Topologies

This work demonstrates performance results of Software-Defined Networking (SDN) testing that were carried out on typical network topologies by using simulation. Specifically, the performance metrics that were examined included: the topology setup and tear down time, the CPU and RAM usage of the system and the latency of packet transfer between nodes. The entire investigation was conducted on a Windows PC using a Virtual Machine for running a Mininet emulator. From the meticulous analysis of the results, it is worth mentioning the following: (i) the total number of switches in a SDN architecture has a significant influence on CPU load. (ii) The RAM (Random Access Memory) consumption dependents on the number of hosts and in circumstances of excessive load it shows much higher increase compared to the usage of the CPU. (iii) The overall performance depends significantly on the type of topology and its properties.

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来源期刊

计算机工程与设计

自引率

0.00%

发文量

20353

期刊介绍： Computer Engineering and Design is supervised by China Aerospace Science and Industry Corporation and sponsored by the 706th Institute of the Second Academy of China Aerospace Science and Industry Corporation. It was founded in 1980. The purpose of the journal is to disseminate new technologies and promote academic exchanges. Since its inception, it has adhered to the principle of combining depth and breadth, theory and application, and focused on reporting cutting-edge and hot computer technologies. The journal accepts academic papers with innovative and independent academic insights, including papers on fund projects, award-winning research papers, outstanding papers at academic conferences, doctoral and master's theses, etc.