Thermal Influence Indices: Causality Metrics for Efficient Exploration of Data center Cooling

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
Cooling is an important issue in data center design and operation. Accurate evaluation of a design or operational parameter choice for cooling is difficult as it requires several runs of computationally intensive Computational Fluid Dynamics (CFD) based models. Therefore there is need for an exploration method that does not incur enormous computation. In addition, the exploration should also provide insights that enable informed decision making. Given these twin goals of reduced computation and improved insights, the authors present a novel approach to data center cooling exploration.
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