Innovative Architectures and Algorithms for Optimized ResourceManagement in Cloud Computing
Keywords:
Cloud computing, resource management, optimization algorithms, energy efficiency, dynamic scheduling, heuristic methodsAbstract
Cloud computing has revolutionized the IT landscape by enabling scalable and flexible resource management, yet its adoption faces significant challenges due to inefficiencies in resource allocation, energy consumption, and load balancing. This paper explores innovative architectures and algorithms for optimized resource management in cloud computing, including adaptive scheduling, heuristic-based allocation, and energy-aware algorithms. A detailed review of existing solutions provides insights into their limitations and potential improvements. The study also proposes a hybrid architecture integrating machine learning models and dynamic optimization techniques to achieve superior performance in terms of cost, energy efficiency, and reliability. By combining theoretical frameworks with practical implementations, this research contributes to the development of more efficient, sustainable, and scalable cloud computing infrastructures.
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