The Role of Machine Learning in Predictive Maintenance for Data Centers

Authors

  • Er Apoorva Jain Chandigarh University Mohali, Punjab, India Author

Keywords:

Machine Learning, Predictive Maintenance, Data Centers, Fault Prediction, Downtime Minimization, Cooling Systems, Anomaly Detection, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Reseach Gate, SSRN, ISSN, Academia, IGC Care, PubMed, WOS

Abstract

Predictive maintenance is a changing strategy that uses advanced technologies to maximize maintenance processes and reduce downtime. In data centers, where continuity of operations is paramount, machine learning (ML) is revolutionizing the predictive maintenance field by offering actionable insights using data-driven models.

This paper discusses the application of ML in predictive maintenance for data centers, outlining its methodologies, findings, and implications. We review the state of research, the challenges, and the future horizon, while presenting a case study of its implementation in optimizing cooling systems and server performance.

Downloads

Published

2025-01-03

Issue

Vol. 2 No. 1 (2025): Jan-Mar 2025

Section

Articles

How to Cite

The Role of Machine Learning in Predictive Maintenance for Data Centers. (2025). World Journal of Cyber Data Science Research, 2(1), Jan (1-5). https://wjcdsr.org/index.php/wjcdsr/article/view/26