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Machine-learning based optimization of data centers using supplemental indicators
Machine-learning based optimization of data centers using supplemental indicators
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机译:基于机器学习的数据中心优化使用补充指标
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摘要
In exemplary aspects of optimizing data centers, historical data corresponding to a data center is collected. The data center includes a plurality of systems. A data center representation is generated. The data center representation can be one or more of a schematic and a collection of data from among the historical data. The data center representation is encoded into a neural network model. The neural network model is trained using at least a portion of the historical data. The trained model is deployed using a first set of inputs, causing the model to generate one or more output values for managing or optimizing the data center using supplemental indicators.
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