Optimizing Network Security and Performance with SD-WAN: Next-Generation Solutions for Modern Enterprises

James, Thornton and Prof. Olivia, Bennett (2020) Optimizing Network Security and Performance with SD-WAN: Next-Generation Solutions for Modern Enterprises. International Journal of Trend in Scientific Research and Development, 4 (4). pp. 1891-1897. ISSN 2456-6470

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Abstract

In the era of cloud computing, remote work, and distributed applications, organizations face increasing challenges in optimizing both network security and performance. Traditional WAN architectures struggle to meet the demands of modern enterprises, which require agility, scalability, and enhanced security. Software-Defined Wide Area Networking (SD-WAN) offers a transformative solution by decoupling network control from the hardware, enabling businesses to optimize traffic routing, enhance security measures, and improve application performance across geographically dispersed locations. This article delves into the principles of SD-WAN technology, examining its role in providing secure and efficient connectivity for modern enterprise networks. It highlights key benefits such as improved performance through intelligent traffic management, enhanced security with end-to-end encryption, and reduced operational costs through simplified network management. Furthermore, the article explores the integration of SD-WAN with next-generation technologies like SD-Branch, Zero Trust frameworks, and cloud-native solutions, showcasing how SD-WAN can address both current and future networking challenges. By emphasizing best practices, deployment strategies, and real-world case studies, this article provides a comprehensive guide for organizations seeking to leverage SD-WAN to optimize network security and performance in an increasingly complex digital landscape.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Postgraduate > Master's of Islamic Education
Depositing User: Journal Editor
Date Deposited: 19 May 2025 11:33
Last Modified: 23 May 2025 12:53
URI: http://eprints.umsida.ac.id/id/eprint/16100

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