Enterprise Microservices: Revolutionizing Telecom Network Architecture

Authors

  • Bhaskara Srinivas Beeraka AT&T, USA Author

DOI:

https://doi.org/10.32628/CSEIT25111231

Keywords:

Enterprise Microservices Architecture, Telecommunications Infrastructure, Network Automation, AI-Driven Network Management, Performance Monitoring

Abstract

This comprehensive article explores the transformative impact of enterprise microservices architecture in the telecommunications industry through the implementation of the UltraVailable Network Service (UVNS) project. The article examines how microservices address challenges related to critical network scalability, availability, and operational efficiency. The article demonstrates the significant advantages of microservices over traditional monolithic architectures through a detailed analysis of automated provisioning, billing systems, and advanced monitoring capabilities. The implementation showcases innovations in dynamic resource allocation, high availability features, and data management systems supported by artificial intelligence and machine learning technologies. The results reveal substantial improvements in service delivery, operational costs, and system performance, establishing a new benchmark for telecommunications infrastructure management.

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References

PwC, "Perspectives from the Global Telecom Outlook 2023–2027," September 28, 2023. [Online]. Available: https://www.pwc.com/gx/en/industries/tmt/telecom-outlook-perspectives.html

Florian Auer et al., "From monolithic systems to Microservices: An assessment framework," Information and Software Technology, Volume 137, September 2021, 106600. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0950584921000793

M.B. Humphrey; W.P. Dotson, "Performance analysis of large scale communication networks," Conference Proceedings '88., IEEE Southeastcon, 10-13 April 1988. [Online]. Available: https://ieeexplore.ieee.org/document/194897

David Hutchison, James P.G. Sterbenz, "Architecture and design for resilient networked systems," Computer Communications, Volume 131, October 2018, Pages 13-21. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0140366418303451

Flyaps, "OSS BSS Transformation: Why Telecoms Must Act Now and Key Strategies to Succeed," Nov 27, 2024. [Online]. Available: https://flyaps.com/blog/oss-bss-transformation/

Dmitry Namiot and Manfred sneps-sneppe, "Micro-service Architecture for Emerging Telecom Applications," ResearchGate, November 2014. [Online]. Available: https://www.researchgate.net/publication/268919364_Micro-service_Architecture_for_Emerging_Telecom_Applications

Dileesh Chandra Bikkasani, Malleswar Reddy Yerabolu, "AI-Driven 5G Network Optimization: A Comprehensive Review of Resource Allocation, Traffic Management, and Dynamic Network Slicing," American Journal of Artificial Intelligence (Volume 8, Issue 2), 28 November 2024. [Online]. Available: https://www.sciencepublishinggroup.com/article/10.11648/j.ajai.20240802.14

Paul W. Cox, "Self-healing networks performance improvement by automated switching algorithm," CIRED Seminar 2008: SmartGrids for Distribution, 08 August 2008. [Online]. Available: https://ieeexplore.ieee.org/document/4591807

Milan Simakovic et al., "Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks," Electronics 2022, 11(14), 2224, 16 July 2022. [Online]. Available: https://www.mdpi.com/2079-9292/11/14/2224

Ale Pavani; A. Kathirvel, "Machine Learning and Deep Learning Algorithms for Network Data Analytics Function in 5G Cellular Networks," 2023 International Conference on Inventive Computation Technologies (ICICT), 01 June 2023. [Online]. Available: https://ieeexplore.ieee.org/document/10134247

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Published

03-01-2025

Issue

Section

Research Articles