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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Innovations in cloud migration strategies for large telecom systems

Authors: Averineni, Ajay;

Innovations in cloud migration strategies for large telecom systems

Abstract

This article explores innovative cloud migration strategies for large telecommunication systems facing the complex challenge of modernizing legacy infrastructure while maintaining critical services. The telecommunications industry confronts unique migration obstacles including stringent availability requirements, intricate system interdependencies, massive data volumes, and regulatory compliance mandates. Through detailed exploration of emerging architectural approaches—hybrid cloud designs, microservices transformation, and containerization techniques—the article highlights how leading providers are successfully navigating these transitions. It presents advancements in data integrity frameworks, parallel pipeline architectures, and security innovations that address telecom-specific concerns. The document further details performance optimization techniques focused on latency management and resource efficiency, illustrated through AT&T's Network Cloud initiative. Looking ahead, the article identifies transformative trends including AI-driven migration planning, edge cloud integration, cloud-native network functions, and multi-cloud strategies that will shape the future of telecommunications infrastructure.

Related Organizations
Keywords

Containerization, Microservices, Edge Computing, Hybrid Cloud, Zero-Trust Security

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold