AI-Driven Cloud Resource Management and Orchestration

Cloud computing has revolutionized the way organizations deploy and manage their IT infrastructure. However, the increasing complexity and scale of cloud environments pose significant challenges in resource management and orchestration. This paper explores the application of Artificial Intelligence (AI) techniques to enhance cloud resource management and orchestration. We present a comprehensive review of existing AI-driven approaches, propose a novel framework for intelligent cloud resource management, and evaluate its performance through extensive simulations and real-world case studies. Our results demonstrate that AI-driven techniques can significantly improve resource utilization, reduce costs, and enhance overall system performance in cloud environments.

Authors

Publication Details

Journal
International Journal of Innovative Research in Science Engineering and Technology
Published
2024-11-20
DOI
https://doi.org/10.15680/ijirset.2024.1311206
Citations
2
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
1.56
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article

AI-Driven Cloud Resource Management and Orchestration

Guru Prasad Selvarajan
2 citations
International Journal of Innovative Research in Science Engineering and Technology
Cloud Computing and Resource Management
1.56
article

AI-Driven Cloud Resource Management and Orchestration

Guru Prasad Selvarajan
article en
2 citations

Abstract

Cloud computing has revolutionized the way organizations deploy and manage their IT infrastructure. However, the increasing complexity and scale of cloud environments pose significant challenges in resource management and orchestration. This paper explores the application of Artificial Intelligence (AI) techniques to enhance cloud resource management and orchestration. We present a comprehensive review of existing AI-driven approaches, propose a novel framework for intelligent cloud resource management, and evaluate its performance through extensive simulations and real-world case studies. Our results demonstrate that AI-driven techniques can significantly improve resource utilization, reduce costs, and enhance overall system performance in cloud environments.

International Journal of Innovative Research in Science Engineering and TechnologyVol. 13(11)
Openalex Percentile: Top 11%
Cloud Computing and Resource Management
1.56
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AI-Driven Cloud Resource Management and Orchestration — Guru Prasad Selvarajan · International Journal of Innovative Research in Science Engineering and Technology (2024) | TGRS Research Map | TGRS