Resource Allocation and Scheduling Techniques in Cloud Computing: A Comprehensive Review
A.S. Radha Mani · International Journal For Multidisciplinary Research · 2025
Efficient resource allocation and scheduling are critical for optimizing performance, minimizing costs, and ensuring user satisfaction in cloud computing environments. This paper provides a comprehensive review of existing techniques, examining the challenges and advancements in this crucial domain. We explore the fundamental principles of resource management, including key performance indicators, service models, and the trade-offs between static and dynamic allocation. A detailed analysis of various scheduling algorithms, including heuristic, metaheuristic, machine learning-based, and hybrid approaches, is presented. Furthermore, we discuss advanced considerations such as fault tolerance, energy efficiency, security, and quality of service. Finally, we identify key research directions for future advancements, including the integration of AI and machine learning, the handling of heterogeneous resources, and the challenges posed by emerging technologies like serverless computing and edge computing. This review aims to provide a valuable resource for researchers and practitioners seeking to understand the current state-of-the-art and navigate the complexities of resource management in the evolving cloud computing landscape.