Archana Kumari
Computer Science
September 2024
Cloud computing has become an essential paradigm for managing and delivering services over the internet. Efficient resource allocation in cloud computing is crucial for ensuring optimal performance, minimizing costs, and maximizing resource utilization. This paper explores the optimization of cloud computing resource allocation using various machine learning algorithms. The study presents a comparative analysis of different machine learning techniques such as Decision Trees, Neural Networks, Support Vector Machines (SVM), and Genetic Algorithms in the context of resource allocation in cloud computing environments. By evaluating their performance, accuracy, and efficiency, the paper aims to identify the most suitable machine learning algorithm for optimizing resource allocation in cloud computing
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