Knowledge-Based Models for Data Centers
First Claim
1. A method for modeling thermal distributions in a data center, comprising the steps of:
- obtaining vertical temperature distribution data for a plurality of locations throughout the data center;
plotting the vertical temperature distribution data for each of the locations as an s-curve, wherein the vertical temperature distribution data reflects physical conditions at each of the locations which is reflected in a shape of the s-curve;
representing each of the s-curves with a set of parameters that characterize the shape of the s-curve, wherein the s-curve representations make up a knowledge base model of predefined s-curve types from which thermal distributions and associated physical conditions at the plurality of locations throughout the data center can be analyzed; and
associating the set of parameters that characterize the shape of the s-curve and the physical conditions at the plurality of locations throughout the data center using a machine-learning model.
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Abstract
Techniques for data center analysis are provided. In one aspect, a method for modeling thermal distributions in a data center includes the following steps. Vertical temperature distribution data is obtained for a plurality of locations throughout the data center and is plotted as an s-curve, wherein the vertical temperature distribution data reflects physical conditions at each of the locations which is reflected in a shape of the s-curve. Each of the s-curves is represented with a set of parameters that characterize the shape of the s-curve, wherein the s-curve representations make up a knowledge base model of predefined s-curve types from which thermal distributions and associated physical conditions at the plurality of locations throughout the data center can be analyzed. The set of parameters that characterize the shape of the s-curve are associated with the physical conditions at the plurality of locations throughout the data center using a machine-learning model.
38 Citations
20 Claims
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1. A method for modeling thermal distributions in a data center, comprising the steps of:
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obtaining vertical temperature distribution data for a plurality of locations throughout the data center; plotting the vertical temperature distribution data for each of the locations as an s-curve, wherein the vertical temperature distribution data reflects physical conditions at each of the locations which is reflected in a shape of the s-curve; representing each of the s-curves with a set of parameters that characterize the shape of the s-curve, wherein the s-curve representations make up a knowledge base model of predefined s-curve types from which thermal distributions and associated physical conditions at the plurality of locations throughout the data center can be analyzed; and associating the set of parameters that characterize the shape of the s-curve and the physical conditions at the plurality of locations throughout the data center using a machine-learning model. - View Dependent Claims (2, 3, 4, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. An apparatus for modeling thermal distributions in a data center, the apparatus comprising:
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a memory; and at least one processor device, coupled to the memory, operative to; obtain vertical temperature distribution data for a plurality of locations throughout the data center; plot the vertical temperature distribution data for each of the locations as an s-curve, wherein the vertical temperature distribution data reflects physical conditions at each of the locations which is reflected in a shape of the s-curve; represent each of the s-curves with a set of parameters that characterize the shape of the s-curve, wherein the s-curve representations make up a knowledge base model of predefined s-curve types from which thermal distributions and associated physical conditions at the plurality of locations throughout the data center can be analyzed; and associate the set of parameters that characterize the shape of the s-curve and the physical conditions at the plurality of locations throughout the data center using a machine-learning model. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification