Cloud Infrastructure Management Using AI-Based Monitoring Tools

Authors

  • Ali Raza Department of Computer Science University of Karachi, Karachi, Pakistan
  • Fatima Zahra Department of Information Technology Lahore University of Management Sciences (LUMS), Lahore, Pakistan
  • Imran Khan Department of Software Engineering National University of Sciences and Technology (NUST), Islamabad, Pakistan

Keywords:

Cloud Infrastructure, AI-Based Monitoring, Machine Learning, Predictive Analytics, Anomaly Detection, Resource Optimization, Real-Time Monitoring, Cloud Security

Abstract

The rapid adoption of cloud computing has necessitated advanced mechanisms for managing and monitoring cloud infrastructures. Traditional monitoring tools often fall short in addressing the dynamic and complex nature of cloud environments. This paper explores the integration of Artificial Intelligence (AI) into cloud infrastructure monitoring, focusing on AI-based tools that enhance performance, security, and scalability. We examine various AI techniques, including machine learning algorithms and predictive analytics, and their applications in real-time monitoring, anomaly detection, and resource optimization. Additionally, the paper discusses the challenges and future directions of AI in cloud infrastructure management

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Published

2023-06-30

Issue

Jan-Jun 2023

Section

Articles

License

Copyright (c) 2023 International journal of advanced sciences and computing

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