AI-Driven Predictive Maintenance for Cloud Infrastructure: Advancements, Challenges, and Future Directions

Authors

  • Jianyu Liang School of Computer Science, Xinghua University, China Author
  • Min Chen Department of Information Technology, Xinghua University, China Author

Keywords:

Cloud Infrastructure, Predictive Maintenance, Artificial Intelligence, Machine Learning, Deep Learning, Anomaly Detection, Fault Prediction.

Abstract

With the exponential growth of cloud computing infrastructure, ensuring optimal performance and reliability has become paramount. Traditional reactive maintenance strategies are no longer sufficient to meet the demands of modern cloud environments. This research paper explores the application of artificial intelligence (AI) in predictive maintenance for cloud infrastructure. It discusses the advancements, challenges, and future directions in leveraging AI-driven predictive maintenance techniques to enhance the efficiency, reliability, and cost-effectiveness of cloud services.

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Published

19-04-2024

How to Cite

AI-Driven Predictive Maintenance for Cloud Infrastructure: Advancements, Challenges, and Future Directions. (2024). Asian American Research Letters Journal, 1(2). https://aarlj.com/index.php/AARLJ/article/view/26

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