AI-Enhanced Green IT Practices for Cloud Computing
Abstract
Cloud computing services are energy-intensive, contributing to global environmental challenges. This study explores the integration of machine learning into green IT practices for cloud environments. The proposed system uses reinforcement learning to optimize server utilization, dynamically allocate resources, and reduce idle energy consumption. A case study in a hybrid cloud setup demonstrated a 20% reduction in energy usage and a 15% decrease in operational costs. The research supports SDG 13: Climate Action and SDG 9: Industry, Innovation, and Infrastructure, highlighting the potential of AI in sustainable cloud computing.
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