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Abstract

Cloud computing has emerged as a transformative technology, revolutionizing the technological landscape with its scalability, flexibility, and cost-effectiveness. However, its rapid evolution has introduced challenges in resource management, efficiency, and security. This study aims to explore recent advancements in cloud computing architectures to bridge research gaps and propel the industry forward. Through an exhaustive literature study, data synthesis, meticulous examination, and presentation of findings, this research comprehensively analyzes recent developments in cloud computing. It also includes experimental setups to evaluate load balancing mechanisms, resource allocation algorithms, and data mining techniques. The study demonstrates significant improvements in resource efficiency, reduced response times, and enhanced scalability within cloud systems. Advanced methodologies in load balancing, resource allocation, and data mining contribute to optimizing cloud infrastructure performance. The findings underscore the transformative potential of innovative methodologies in cloud computing architectures. Future research directions include exploring advanced data mining techniques, enhancing load balancing mechanisms, and addressing privacy and security challenges. These endeavors will drive innovation, improve reliability, and ensure the continued evolution of cloud computing technology.