使用OpenFlow协议改进软件定义网络的网络管理

IF 2.6 4区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Koketso Molemane Rodney Mokoena, Ramahlapane Lerato Moila, Prof Mthulisi Velempini
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引用次数: 0

摘要

随着网络设备的进步,导致通信网络也在快速增长并变得越来越复杂,导致网络架构的庞大和异构给网络管理带来了很多挑战。因此,在现有的网络体系结构下,管理网络已成为一项日益严峻的挑战。在这项研究中,我们调查了网络运营商如何运营、维护和保护电信网络。该研究还调查了软件定义网络(SDN)在改善网络管理方面的有效性。该研究还调查了架构如何最大限度地减少用户面临的挑战。为了使用OpenFlow协议改进SDN的网络管理,我们使用图形网络模拟器3、Oracle VM VirtualBox Manager和Mininet VM创建了网络拓扑并配置了设备。我们的方法在一个集中的网络架构中实现了Git和Ansible,以解决现有网络架构在Internet上基于网络的设备快速增长所面临的问题。这篇研究论文展示了如何使用Ansible剧本来管理你的网络并克服你所面临的挑战。仿真结果表明,该方案在效率和灵活性方面都优于传统的OpenFlow协议。这些改进是通过分离控制平面和数据平面实现的,从而允许更集中的网络管理和更容易地实现网络策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Network Management with Software Defined Networking using OpenFlow Protocol
With the advancement of network-based devices, resulting in communication networks also growing rapidly and becoming more complex, resulting in large and heterogeneous network architecture has brought a lot of challenges in network management. Therefore, managing the network has become an increasingly a challenge given the existing network architectures. In this study, we have investigated how network operators operate, maintain and secure telecommunications networks. The study has also investigated the effectiveness of Software Defined Networking (SDN) in improving network management. The study has also investigated how the architecture minimizes the challenges users face. To improve network management with SDN using the OpenFlow protocol, we created network topologies and configured devices using the graphical network simulator 3, Oracle VM VirtualBox Manager, and Mininet VM. Our approach implemented both Git and Ansible in a centralized network architecture to solve the problems facing existing network architectures with the rapid growth of network-based devices on the Internet. This research paper has shown how to use Ansible playbooks to manage your network and overcome the challenges you face. The simulation results shows that the proposed scheme performs better in terms of efficiency and flexibility than the traditional OpenFlow protocol. These improvements have been achieved through the separation of the control and data planes, allowing for more centralized network management and easier implementation of network policies.
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来源期刊
Big Data
Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍: Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google, etc, Opportunities around big data and how companies can harness it to their advantage.
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