ENERGY EFFICIENCY OF DISTRIBUTED AI SERVICES IN A HYBRID CLOUD-EDGE INFRASTRUCTURE

Authors

  • Bekzhan Abdimanapov Software Engineer, USA Author

Keywords:

Data center, energy efficiency, cloud computing, edge-computing, energy consumption, green IT.

Abstract

This paper examines aspects of improving data center energy efficiency with the expansion of cloud and edge computing technologies. Architectural features, energy consumption benefits of decentralized data processing, and methods for reducing energy consumption are explored. Cloud and edge computing models are compared from the respective of the environmental sustainability of digital infrastructure.

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Published

2025-11-30

Issue

Vol. 1 No. 8 (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ENERGY EFFICIENCY OF DISTRIBUTED AI SERVICES IN A HYBRID CLOUD-EDGE INFRASTRUCTURE. (2025). Modern American Journal of Engineering, Technology, and Innovation, 1(8), 163-170. https://usajournals.org/index.php/2/article/view/2233