Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management

This research article explores the transformative role of Artificial Intelligence (AI) in cloud computing, with a focus on its influence on scalability, resource management, and predictive analytics within distributed systems. As cloud infrastructure becomes integral to organizational operations, AI technologies have emerged as vital tools for enhancing performance and efficiency. The study emphasizes how AI enables scalability through dynamic resource allocation and auto-scaling, allowing systems to adapt seamlessly to changing demands. It also examines AI-driven resource management strategies, which utilize machine learning algorithms to optimize operations, lower costs, and ensure system resilience through predictive maintenance and anomaly detection. Furthermore, the article highlights predictive analytics, demonstrating how AI processes large datasets to support informed decision-making and improve system reliability. By integrating intelligent automation with cloud computing, this article underscores AI's pivotal role in advancing the capabilities of distributed systems

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2024-12-23
DOI
https://doi.org/10.48175/ijarsct-22840
Citations
21
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
7.29
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article

Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management

Somnath Banerjee
21 citations
International Journal of Advanced Research in Science Communication and Technology
Neural Networks and Applications
7.29
article

Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management

Somnath Banerjee
article en
21 citations

Abstract

This research article explores the transformative role of Artificial Intelligence (AI) in cloud computing, with a focus on its influence on scalability, resource management, and predictive analytics within distributed systems. As cloud infrastructure becomes integral to organizational operations, AI technologies have emerged as vital tools for enhancing performance and efficiency. The study emphasizes how AI enables scalability through dynamic resource allocation and auto-scaling, allowing systems to adapt seamlessly to changing demands. It also examines AI-driven resource management strategies, which utilize machine learning algorithms to optimize operations, lower costs, and ensure system resilience through predictive maintenance and anomaly detection. Furthermore, the article highlights predictive analytics, demonstrating how AI processes large datasets to support informed decision-making and improve system reliability. By integrating intelligent automation with cloud computing, this article underscores AI's pivotal role in advancing the capabilities of distributed systems

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 2%
Neural Networks and Applications
7.29
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Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management — Somnath Banerjee · International Journal of Advanced Research in Science Communication and Technology (2024) | TGRS Research Map | TGRS