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AI and Automation in Capacity Planning: Predicting and Managing Cloud Resource Demands

Year: 2025

Type: article

Abstract: This article examines the transformative impact of Artificial Intelligence and automation on cloud capacity planning. It delves into how AI-driven systems revolutionize resource allocation, enabling organizations to optimize their infrastructure through predictive analytics and dynamic scaling. The article explores various aspects including machine learning models, automated scaling mechanisms, implementation challenges, and business benefits. By analyzing the evolution from traditional methods to AI-powered solutions, it demonstrates how organizations can achieve enhanced resource utilization, improved performance reliability, and significant cost optimization. The integration of edge computing and advanced AI capabilities emerges as crucial factors in shaping the future of cloud resource management, offering insights into upcoming trends and innovations in the field.

Source: International Journal of Scientific Research in Computer Science Engineering and Information Technology

DOI: 10.32628/cseit25112420

Author: Vineela Reddy Nadagouda

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4408323805

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