Transforming Network Architectures with VMware NSX-T Data Centre: A Deep Dive into Software-Defined Networking for Multi-Cloud Environments

Authors

DOI:

https://doi.org/10.5281/zenodo.14784450

Keywords:

vmware, 5g, data center, software defined networks

Abstract

The rapid evolution of network architectures has increased the demand for scalable, secure, and automated solutions to manage complex multi-cloud environments. VMware NSX-T Data Center is a leading software-defined networking (SDN) platform that offers enhanced network virtualization, micro-segmentation, and Zero Trust security frameworks. This paper presents a comprehensive analysis of NSX-T’s transformative impact on modern networks. Results show that NSX-T reduces lateral attack surfaces by 95%, improves cloud resource provisioning times by 50%, and lowers manual configuration efforts by 60%. Additionally, latency reductions of 50% in 5G networks and throughput increases of 50% in large-scale data centers highlight its performance benefits. Despite deployment complexities and cost challenges, NSX-T demonstrates significant potential in advancing 5G, edge computing, and AI-driven network automation.

Downloads

Download data is not yet available.

References

Koskinen, Juha. (2020). Microsegmentation as part of organization's network architecture: Investigating VMware NSX for vSphere.

Sangha, Tony, & Bayu Wibowo. (2018). VMware NSX cookbook: Over 70 recipes to master the network virtualization skills to implement, validate, operate, upgrade, and automate VMware NSX for vSphere. Packt Publishing Ltd.

Sangha, Tony, & Bayu Wibowo. (2018). VMware NSX cookbook: Over 70 recipes to master the network virtualization skills to implement, validate, operate, upgrade, and automate VMware NSX for vSphere. Packt Publishing Ltd.

Ushakov, Yuri, Margarita Ushakova, & Leonid Legashev. (2023). Research of a virtual infrastructure network with hybrid software-defined switching. Engineering Proceedings, 33(1), 52.

Takamäki, Masi. (2018). Overlay technologies and microsegmentation in data centers.

Udayakumar, Puthiyavan. (2022). "Design essentials of AVS." Design and deploy Azure VMware solutions: Build and run VMware workloads natively on Microsoft azure. Berkeley, CA: Apress, pp. 113-192.

Udayakumar, Puthiyavan. (2012). Design and deploy azure VMware solutions.

Mohan, Shashank, & Shashank Mohan. (2022). Tunnel endpoints." NSX-T logical routing: Fortify your understanding to amplify your success, pp. 15-55.

Hoogendoorn, Iwan. (2021). "NSX-T VPN." Multi-site network and security services with NSX-T: Implement network security, stateful services, and operations. Berkeley, CA: Apress, pp. 157-194.

Hoogendoorn, Iwan. (2021). Public cloud integration." Multi-site network and security services with NSX-T: Implement network security, stateful services, and operations. Berkeley, CA: Apress, pp. 303-316.

Al-Ofeishat, Hussein, & Rafat Alshorman. (2023). Build a secure network using segmentation and micro-segmentation techniques. International Journal of Computing and Digital Systems, 16(1), 1499-1508.

Mohan, Shashank, & Shashank Mohan. (2022). Data center routing." NSX-T logical routing: Fortify your understanding to amplify your success, pp. 227-290.

Hoogendoorn, Iwan. (2021). "NSX-T security and firewalls." Multi-Site network and security services with NSX-T: Implement network security, stateful services, and operations. Berkeley, CA: Apress, pp. 1-52.

Mohan, Shashank, & Shashank Mohan. (2022). Remote tunnel endpoints." NSX-T logical routing: Fortify your understanding to amplify your success. Berkeley, CA: Apress, pp. 57-67.

Hoogendoorn, Iwan. (2021). Authentication and authorization." Multi-site network and security services with NSX-T: Implement network security, stateful services, and operations. Berkeley, CA: Apress, pp. 221-246.

Downloads

Published

2025-01-28

How to Cite

Jorepalli, S. (2025). Transforming Network Architectures with VMware NSX-T Data Centre: A Deep Dive into Software-Defined Networking for Multi-Cloud Environments. Applied Science and Engineering Journal for Advanced Research, 4(1), 7–12. https://doi.org/10.5281/zenodo.14784450

ARK