Design and Optimization of Cloud Computing Scheduling: A Comprehensive Review and Future Directions

Abstract

This paper presents a comprehensive review of the state-of-the-art techniques in designing and optimizing cloud computing scheduling algorithms. We delve into various scheduling strategies, their advantages, challenges, and propose potential future directions for research in this domain. Cloud computing has become the backbone of modern IT infrastructure, offering unparalleled scalability and flexibility. However, efficient resource utilization and task scheduling remain critical challenges in maximizing the performance of cloud systems. This paper provides a comprehensive review of existing scheduling techniques in cloud computing and explores various optimization strategies to enhance scheduling efficiency. Additionally, it discusses future research directions, including the integration of machine learning techniques and addressing emerging challenges in cloud computing scheduling.