Identifying cooling loop characteristics

Patent metadata

Field	Value
Publication number	US-10874035-B2
Application number	US-201515772903-A
Country	US
Kind code	B2
Filing date	Dec 18, 2015
Priority date	Dec 18, 2015
Publication date	Dec 22, 2020
Grant date	Dec 22, 2020

Abstract

An example device in accordance with an aspect of the present disclosure includes a collection engine and a correlation engine to identify cooling loop characteristics. The collection engine is to collect data from devices associated with cooling loops. The correlation engine is to identify, based on the data collected, a common loop from among the cooling loops, and which of the devices are associated with the common loop.

First claim

What is claimed is:

1. A system to identify cooling loop characteristics, comprising:
a collection engine to collect data from a plurality of devices associated with a plurality of cooling loops; and
a correlation engine to identify, based on the data collected, a common loop from among the plurality of cooling loops, and which of the plurality of devices are associated with the common loop.

2. The system of claim 1 , further comprising a workload engine to deploy a workload among at least a portion of the plurality of devices to include at least one device in a first common loop and at least one device in a second common loop, to mitigate risk of workload failure due to an issue with a given common loop.

3. The system of claim 1 , further comprising a perturbation engine to cause at least one of the plurality of devices to perturb at least one characteristic of at least one of the plurality of cooling loops, such that a perturbation of at least one of the plurality of devices is identifiable by the correlation engine.

4. The system of claim 3 , wherein the perturbing is based on modulating the at least one characteristic according to a perturbation pattern that periodically varies over time, such that the perturbation pattern is identifiable by the correlation engine.

5. The system of claim 3 , wherein the at least one characteristic includes at least one of i) flow, ii) temperature, iii) pressure, and iv) chemical characteristics of coolant.

6. The system of claim 3 , wherein the perturbation engine is to cause a coolant distribution unit (CDU) device to vary a pump rate periodically over time to perturb a flow of coolant of a cooling loop associated with the CDU.

7. The system of claim 1 , further comprising a representation engine to build a connection diagram representing devices that share the common loop.

8. The system of claim 1 , wherein the correlation engine is to identify the common loop being fluidically coupled with devices including at least one of i) a CDU device, and ii) a computing system rack device.

9. The system of claim 1 , wherein the plurality of devices include at least one type of sensor chosen from among the types including i) a flow sensor, ii) a temperature sensor, iii) a pressure sensor, and iv) a chemical sensor.

10. The system of claim 9 , wherein the correlation engine is to identify the common loop based on correlating first data, from a first type of sensor, with second data from a second type of sensor that is a different type of sensor than the first type of sensor.

11. A method to identify cooling loop characteristics, comprising:
perturbing, by a perturbation engine, at least one characteristic of at least one of a plurality of cooling loops associated with a plurality of devices;
collecting, by a collection engine, data from at least a portion of the plurality of devices associated with the plurality of cooling loops; and
correlating, by a correlation engine, the data collected to identify a common loop from among the plurality of cooling loops, and which of the plurality of devices are associated with the common loop.

12. The method of claim 11 , further comprising deploying, by a workload engine, a workload among at least a portion of the plurality of devices sharing an identified plurality of common circulation loops, to reduce a potential for failure due an issue with a given cooling loop.

13. The method of claim 11 , further comprising generating at least one of i) a maintenance prediction, and ii) a scheduled task, for at least one device associated with the at least one common loop.

14. A non-transitory machine-readable storage medium encoded with instructions to identify cooling loop characteristics, executable by a computing system that, when executed, cause the computing system to:
collect data from a plurality of devices associated with a plurality of cooling loops;
identify, based on the data collected, a common loop from among the plurality of cooling loops, and which of the plurality of devices are associated with the common loop; and
deploy a workload among at least a portion of the plurality of devices to include at least one device in a first common loop and at least one device in a second common loop, to mitigate risk of workload failure due to an issue with a given one of the first and second common loops.

15. The storage medium of claim 14 , further comprising instructions that cause the computing system to provide a notification of a risk to availability in response to identification of an issue with the given one of the first and second common loops.

Assignees

• Hewlett Packard Entpr Dev Lp

Inventors

• Cader Tahir
• Moore David A
• Long Greg Scott

Classifications

• G05D7/0676

  by action on flow sources (G05D7/0688, G05D7/0694 take precedence) · CPC title

• G06F1/20

  Cooling means · CPC title

• H05K7/20836 Primary

  Thermal management, e.g. server temperature control · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G05B15/02

  electric · CPC title