AI-Powered Fault Tolerance Mechanisms for Cloud Systems

Abstract

Fault tolerance is an imperative requirement of cloud systems, considering the growing reliance on their dependability and responsiveness. Implementing artificial intelligence (AI) in fault-tolerance systems provides revolutionary solutions for increasing system robustness.

This paper investigates AI-based fault-tolerance models, such as machine learning (ML)-based prediction models, anomaly detection, and self-healing recovery systems. Simulation-based studies and statistical inference prove the efficiency of these methods. Recommendations for the implementation of AI-based fault tolerance in current cloud designs are provided at the conclusion of the study, highlighting its potential to diminish downtime and increase system reliability.