AN INVESTIGATION INTO MACHINE LEARNING APPLICATIONS IN CLOUD COMPUTING
Keywords:
Machine Learning (ML), Cloud Computing (CC), Resource Allocation, Workload Prediction, Auto- Scaling, Anomaly Detection, Reinforcement Learning.Abstract
Machine learning (ML) has emerged as a key enabler in modern cloud computing environments, allowing intelligent automation, predictive analytics, and efficient resource management. Cloud platforms generate massive volumes of data, and traditional rule-based systems are insufficient to handle dynamic workloads and complex infrastructure demands, the integration of ML techniques into cloud computing to enhance performance, scalability, and security. ML-based systems outperform traditional methods in response time, cost optimization, and resource utilization. The results confirm that intelligent cloud management significantly improves system efficiency and reliability. Future research directions including deep learning integration, edge-cloud synergy, and real-time adaptive systems are also discussed.
