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#edge computing Open access

Sustainable Cloud Computing in the AI Era: Energy-Aware Infrastructure, Edge Integration and Security Challenges

Sep 2026 · International Journal for Research in Applied Science and Engineering Technology · 0 citations

TL;DR

It is concluded that future cloud systems need to provide performance while also reducing unnecessary energy consumption and maintaining security and reliability, and that artificial intelligence can be used to improve cloud resource management and reduce resource usage.

Abstract

Cloud computing has become a part of modern technology. It is used in intelligence, online education, banking, healthcare, entertainment, business applications and many other areas. The growth of intelligence is increasing the demand for computing power, storage, networking and data-centre resources. Because of this growth, energy consumption, security and efficient resource management have become issues in cloud computing. This paper discusses cloud computing in the AI era with a focus on energy-efficient infrastructure, resource management, edge computing and cloud security. It also discusses how artificial intelligence can be used to improve cloud resource management and reduce resource usage. A simple conceptual approach based on workload monitoring, resource allocation, edge processing and security monitoring is presented. The study concludes that future cloud systems need to provide performance while also reducing unnecessary energy consumption and maintaining security and reliability.

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