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Cloud-Native Architecture for Next-Generation MVNO Platforms
Subject area: Science,Engineering and Technology · Area of research: Cloud-Native Architecture
Abstract
Mobile Virtual Network Operators (MVNOs) require flexible, scalable, and cost-efficient platforms to support rapidly growing mobile services. Traditional MVNO infrastructures often face limitations in resource utilization, service deployment, scalability, and operational efficiency. This paper proposes a cloud-native architecture for next-generation MVNO platforms using microservices, containerization, orchestration, API gateways, and automated resource management. The proposed architecture enables independent service deployment, dynamic scaling, improved fault tolerance, and efficient network resource utilization. A simulated evaluation compares the proposed cloud-native approach with a conventional MVNO architecture using latency, provisioning time, resource utilization, scalability, and service availability. Results demonstrate improved performance and operational flexibility.
Keywords
Cloud-Native Computing, Mobile Virtual Network Operator (MVNO), Microservices, Containerization, 5G Networks.
References
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How to cite this paper
@article{1723794,
author = {Karthick Cherladine},
title = {Cloud-Native Architecture for Next-Generation MVNO Platforms},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {7},
number = {8},
pages = {626-632},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1723794.pdf},
abstract = {Mobile Virtual Network Operators (MVNOs) require flexible, scalable, and cost-efficient platforms to support rapidly growing mobile services. Traditional MVNO infrastructures often face limitations in resource utilization, service deployment, scalability, and operational efficiency. This paper proposes a cloud-native architecture for next-generation MVNO platforms using microservices, containerization, orchestration, API gateways, and automated resource management. The proposed architecture enables independent service deployment, dynamic scaling, improved fault tolerance, and efficient network resource utilization. A simulated evaluation compares the proposed cloud-native approach with a conventional MVNO architecture using latency, provisioning time, resource utilization, scalability, and service availability. Results demonstrate improved performance and operational flexibility.},
keywords = {Cloud-Native Computing, Mobile Virtual Network Operator (MVNO), Microservices, Containerization, 5G Networks.},
month = {February},
}