Revolutionizing Multi-Campus Communication: A Next-Generation OSPF-Based Network Design for NVSU's Distributed Learning Environment

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Communication Networks and Distributed Systems Pub Date : 2023-07-08 DOI:10.30534/ijns/2023/011242023
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Abstract

n today's era of distributed learning environments, efficient and reliable communication between multiple campuses is crucial for seamless collaboration and knowledge sharing. This research aims to revolutionize multi-campus communication by proposing a next-generation network design based on Open Shortest Path First (OSPF) protocol for Nanchang Virtual State University (NVSU). By leveraging OSPF's dynamic routing capabilities, the completed design goals is to enhance network performance, scalability, and fault tolerance, thereby improving the overall learning experience for students across various campuses. The research involves analyzing the existing network infrastructure, identifying the challenges in the current communication framework, and developing a novel OSPF-based network architecture tailored to NVSU's distributed learning environment. The network design has been through extensive simulations and practical implementation, assessing key performance metrics such as latency, throughput, and network convergence time. The outcomes of this research provide valuable insights for educational institutions seeking to optimize their multi-campus communication infrastructure and enable seamless collaboration in distributed learning environments.
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革新多校区通信:面向NVSU分布式学习环境的下一代基于ospf的网络设计
在当今分布式学习环境的时代,多个校园之间高效可靠的通信对于无缝协作和知识共享至关重要。本研究旨在为南昌虚拟州立大学(NVSU)提出一种基于开放最短路径优先(OSPF)协议的下一代网络设计,以彻底改变多校园通信。通过利用OSPF的动态路由功能,完成的设计目标是增强网络性能、可扩展性和容错性,从而改善各个校园学生的整体学习体验。该研究包括分析现有的网络基础设施,确定当前通信框架中的挑战,并针对NVSU的分布式学习环境开发一种新的基于ospf的网络体系结构。网络设计经过了大量的模拟和实际实现,评估了延迟、吞吐量和网络收敛时间等关键性能指标。本研究的结果为教育机构寻求优化其多校园通信基础设施和实现分布式学习环境中的无缝协作提供了有价值的见解。
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来源期刊
CiteScore
2.50
自引率
46.20%
发文量
57
期刊介绍: IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.
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