Energy Optimization in Cloud Infrastructures Through Machine Learn-ing-Based Resource Management
Keywords:
Cloud Infrastructure, Energy Optimization, Machine Learning, Resource Management, SustainabilityAbstract
The rapid expansion of cloud infrastructures has led to significant energy consumption, raising concerns about environmental sustainability and operational costs. Machine learning-based resource management offers a solution by optimizing energy usage while maintaining performance. This paper explores the application of machine learning in dynamic resource allocation, workload prediction, and power management to achieve energy efficiency. A case study and performance metrics demonstrate the effectiveness of these approaches.
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