Environment-based tuning for computing devices
Systems and methods for managing computing devices in a data center based on collected environmental data are disclosed. Temperature data from the computing devices is periodically gathered along with environmental data from sensors inside and outside the data center. The collected data is used to create a correlation model between the outside environmental data, the inside environmental data, and the device environmental status. Weather data for the geographic location of the data center may also be incorporated into the correlation model, which may be used to predict future heat spikes and trigger preventative measures such as adjusting device fans, operating frequencies, reducing or shifting workloads, adjusting vents, and engaging cooling units.
1. A method for managing a plurality of computing devices in a data center, the method comprising:
periodically collecting outside environmental data from a first array of environmental sensors located outside the data center;
periodically collecting inside environmental data from a second array of environmental sensors located inside the data center;
periodically collecting device temperature data from the plurality of computing devices;
creating a correlation model between the outside environmental data, the inside environmental data, and the device temperature data;
using the correlation model to predict future heat spikes; and
in response to a predicted future heat spike, modifying one or more operating parameters,
wherein the modifying one or more operating parameters comprises closing a first external air intake vent on a first side of the data center and opening a second external air intake vent on a second side of the data center.
2. The method of claim 1 , wherein the outside environmental data comprises temperature, humidity, barometric pressure, solar radiation, wind direction and wind speed.
3. The method of claim 1 , further comprising periodically updating the correlation model based on newly collected outside environmental data, inside environmental data, and device temperature data.
4. The method of claim 1 , further comprising gathering weather forecast data, and using the gathered weather forecast data in the correlation model.
5. The method of claim 1 , wherein the modifying further comprises engaging a cooling unit.
6. The method of claim 1 , wherein the modifying further comprises adjusting one or more fan speeds of the plurality of at least a subset of the plurality of computing devices.
7. The method of claim 1 , further comprising, in response to a predicted future heat spike, reducing an operating frequency of at least a subset of the plurality of computing devices.
8. The method of claim 1 , further comprising, in response to a predicted future heat spike, reducing an operating voltage of one or more of the plurality of computing devices.
9. The method of claim 1 , further comprising, in response to a predicted future heat spike, reducing a work dispatch frequency for one or more of the plurality of the computing devices.
10. The method of claim 1 , wherein the first array of environmental sensors are located on different sides of the data center having different geographic exposures.
11. The method of claim 1 , wherein the second array of environmental sensors are located in one or more cold aisles in the data center.
12. The method of claim 1 , wherein:
the first array of environmental sensors located outside the data center includes a first environmental sensor adjacent to the first side of the data center and a second environmental sensor adjacent to the second side of the data center; and
the modifying one or more operating parameters is based on a condition that a first temperature measured by the first environmental sensor is greater than a second temperature measured by the second environmental sensor.
13. A system for managing a data center, the system comprising:
a plurality of computing devices located inside the data center;
a plurality of sensors located outside the data center;
a management server connected to the plurality of computing devices and sensors via a network, wherein the management server is configured to execute a management application, wherein the management application is configured to:
create and update a correlation model;
use the correlation model to predict a future undesirable environmental condition; and
in response to the predicted future undesirable environmental condition, performing a preventative action,
wherein the preventative action comprises adjusting external intake vents.
14. The system of claim 13 , wherein each computing device comprises one or more fans, wherein the preventative action further comprises temporarily changing a fan speed for at least a subset of the plurality of computing devices.
15. The system of claim 13 , wherein the preventative action further comprises temporarily reducing work sent to at least a subset of the plurality of computing devices.
16. The system of claim 13 , wherein the adjusting external intake vents comprises closing a first set of intake vents on a first side of the data center and opening a second set of intake vents on a second side of the data center.
17. The system of claim 13 , wherein:
the plurality of sensors located outside the data center includes:
a first sensor adjacent to a first side of the data center, the first sensor collecting a first temperature, and
a second sensor adjacent to a second side of the data center, the second sensor collecting a second temperature; and
the adjusting external intake vents comprises closing a first set of intake vents on the first side of the data center and opening a second set of intake vents on the second side of the data center based on a condition that the first temperature is greater than the second temperature.
18. A non-transitory, computer-readable storage medium storing instructions executable by a processor of a computational device, which when executed cause the computational device to:
periodically collect environmental data from a first set of sensors located outside a data center;
periodically collect environmental data from a second set of sensors located inside a data center;
create a correlation model between the environmental data from the first set of sensors and the environmental data from the second set of sensors;
predict based on the correlation model an undesirable environmental status for one or more of the computing devices; and
in response to a predicted undesirable environmental status, adjusting operating parameters for the data center,
wherein:
the operating parameters comprise:
opening a first external air intake vent on a first side of the data center; and
closing a second external air intake vent on a second side of the data center.
19. The non-transitory, computer-readable storage medium of claim 18 , wherein:
the operating parameters further comprise:
decreasing fan speed on a first set of the one or more computing devices closer to the first external air intake vent; and
increasing fan speed on a second set of the one or more computing devices closer to the second external air intake vent.
20. The non-transitory, computer-readable storage medium of claim 18 , wherein:
the first set of sensors located outside a data center includes:
a first sensor adjacent to the first side of the data center, the first sensor collecting a first temperature, and
a second sensor adjacent to the second side of the data center, the second sensor collecting a second temperature; and
the operating parameters are based on a condition that the second temperature is greater than the first temperature.