Energy Cost Optimizations in Cloud Environments

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Focusing on the intersection of cloud services and energy consumption, this book addresses the critical need for cost reductions in data center operations due to rising energy expenses. It explores various energy price forecasting methods to identify the most effective predictions for power markets. Additionally, a framework for cloud simulation tests different conditions against real energy data, optimizing resource scheduling to enhance cost savings. The findings culminate in a comprehensive analysis of the best forecasting models derived from extensive simulations.