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AI-Integrated Cloud Systems: Enhancing Reliability through Predictive Maintenance

Year: 2025

Type: article

Abstract: Integrating Artificial Intelligence into cloud environments represents a paradigm shift in system reliability management. This article examines how AI-driven automation tools leverage machine learning algorithms, advanced monitoring techniques, and predictive analytics to anticipate and prevent system failures before they manifest as critical issues. By creating self-optimizing ecosystems that adapt to real-time challenges, AI integration minimizes downtime and streamlines resource allocation, resulting in enhanced operational efficiency. The transformative capabilities of AI extend beyond reactive maintenance to establish proactive frameworks that continuously evolve to address emerging threats. By strategically implementing these technologies, organizations can achieve unprecedented levels of system reliability while simultaneously reducing operational costs and creating more resilient cloud infrastructures.

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

DOI: 10.32628/cseit25112693

Author: Raman Vasikarla

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: W4408695359

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