Journal of Computer Technology and Software

Vol. 1 No. 1 (2022)
Articles

An Intelligent Cloud Computing Framework for Adaptive Resource Allocation, Scalable Service Deployment, and Energy-Efficient Infrastructure Management

  • Mamadou Ndiaye

Published 2022-01-30

How to Cite

Ndiaye, M. (2022). An Intelligent Cloud Computing Framework for Adaptive Resource Allocation, Scalable Service Deployment, and Energy-Efficient Infrastructure Management. Journal of Computer Technology and Software, 1(1). Retrieved from https://ashpress.org/index.php/jcts/article/view/338
Creative Commons License

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

Abstract

Cloud computing has become the dominant computing paradigm for delivering scalable and on-demand computing resources to individuals and enterprises. As cloud applications continue to grow in complexity and workload diversity, traditional resource management strategies often struggle to achieve an optimal balance between performance, cost, and energy consumption. This paper proposes an intelligent cloud computing framework that integrates adaptive resource allocation, automated service deployment, and dynamic workload scheduling to improve the efficiency of cloud infrastructures. The framework employs virtualization and container-based orchestration to support flexible application deployment while utilizing predictive analytics to estimate workload fluctuations and optimize resource utilization. Furthermore, an energy-aware management mechanism is introduced to reduce unnecessary resource consumption without compromising service quality. Experimental evaluations conducted under different workload scenarios demonstrate that the proposed framework improves resource utilization, reduces average task response time, and lowers overall operational costs compared with conventional static scheduling approaches. The proposed architecture provides a practical solution for modern cloud platforms and offers valuable insights for future research in intelligent cloud resource management, sustainable data center operation, and large-scale distributed computing environments.

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