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一种用于软件定义广域网分析的流体流动模型。

A fluid flow model for the software defined wide area networks analysis.

作者信息

Marszałek Karol, Domański Adam

机构信息

Department of Distributed Systems and Informatic Devices, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland.

出版信息

Sci Rep. 2025 Jan 29;15(1):3713. doi: 10.1038/s41598-025-88162-6.

Abstract

The advancement of IT systems necessitates efficient communication methods essential across various sectors, from streaming platforms to cloud-based solutions and Industry 4.0 applications. Enhancing Quality of Service (QoS) in computer networks by focusing on bandwidth and communication delay is critical. Mechanisms like Active Queue Management (AQM) techniques are used, but more advanced solutions are needed to utilize the technological advances in communication technologies. Such advancements are Software-Defined Networks (SDN). Introduced by the SDN decoupling between the control plane and the data plane, it enables advanced real-time traffic shaping and centralized traffic management. This shift allows dynamic routing and improved QoS mechanisms, with research exploring multi-path routing. This paper proposes an extension to the Fluid Flow analysis model for complex networks. This modification allows for the simulation of various networking topologies and can be used to test novel routing and active queue management algorithms in more detail. The obtained numerical analysis demonstrates the model's advantages over traditional methods, enabling the exploration of new scenarios.

摘要

信息技术系统的发展需要高效的通信方法,这在各个领域都至关重要,从流媒体平台到基于云的解决方案以及工业4.0应用。通过关注带宽和通信延迟来提高计算机网络的服务质量(QoS)至关重要。诸如主动队列管理(AQM)技术之类的机制被使用,但需要更先进的解决方案来利用通信技术的技术进步。这种进步就是软件定义网络(SDN)。由控制平面和数据平面之间的SDN解耦引入,它实现了先进的实时流量整形和集中式流量管理。这种转变允许动态路由和改进的QoS机制,同时有研究探索多路径路由。本文提出了一种针对复杂网络的流体流动分析模型的扩展。这种修改允许模拟各种网络拓扑,并且可用于更详细地测试新颖的路由和主动队列管理算法。所获得的数值分析证明了该模型相对于传统方法的优势,能够探索新的场景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e4/11779935/9c4da0421f23/41598_2025_88162_Fig1_HTML.jpg

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