通过监控和高级仿真增强国家研究和教育网络的能力：ASNET-AM 使用案例和经验教训

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Programming and Computer Software Pub Date : 2024-01-26 DOI:10.1134/s0361768823090062

A. Manasyan, R. Tadevosyan, V. Sahakyan, A. Petrosyan, H. Astsatryan

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引用次数: 0

摘要

摘要国家研究和教育网络（NREN）在现代研究和教育中举足轻重，为学术和科学界提供了一个充满活力的生态系统。这些网络是重要基础设施和服务的骨干，推动着研究、教育和创新。本文探讨了监控和高级仿真在提高 NREN 性能方面的作用。文章介绍了亚美尼亚 NREN ASNET-AM 在利用这些技术方面的经验，突出强调了其优势和挑战。

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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Empowering National Research and Education Networks through Monitoring and Advanced Emulation: ASNET-AM Use Cases and Lessons Learned

Abstract

National Research and Education Networks (NRENs) are pivotal in modern research and education, providing a dynamic ecosystem for academic and scientific communities. These networks form the backbone for crucial infrastructures and services, propelling research, education, and innovation. This article explores the role of monitoring and advanced emulation in enhancing NREN performance. The experiences of ASNET-AM, the Armenian NREN, in leveraging these techniques are presented, highlighting the benefits and challenges.

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来源期刊

Programming and Computer Software 工程技术-计算机：软件工程

CiteScore

1.60

自引率

28.60%

发文量

审稿时长

>12 weeks

期刊介绍： Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.