AI-DRIVEN CLOUD COMPUTING: MACHINE LEARNING MODELS FOR DYNAMIC RESOURCE ALLOCATION, TASK SCHEDULING, AND PERFORMANCE OPTIMIZATION

This study examines feedback-based resource allocation, schedule coordination, and performance optimization using the models of Artificial Intelligence (AI) and Machine Learning (ML) in a cloud computing setting. However, classic solutions to cloud management, including fixed quantity of resources a... View More