US 11,659,695 B2
Telemetry system supporting identification of data center zones
Cyril Jose, Austin, TX (US); Sankunny Jayaprasad, Round Rock, TX (US); Jon Robert Hass, Austin, TX (US); Sankara Rao Gara, Cedar Park, TX (US); and Sailaja Mahendrakar, Austin, TX (US)
Assigned to Dell Products, L.P., Round Rock, TX (US)
Filed by Dell Products, L.P., Round Rock, TX (US)
Filed on Jul. 16, 2020, as Appl. No. 16/930,987.
Prior Publication US 2022/0022344 A1, Jan. 20, 2022
Int. Cl. H05K 7/20 (2006.01); G06F 1/20 (2006.01); G06F 11/34 (2006.01)
CPC H05K 7/20836 (2013.01) [G06F 1/20 (2013.01); G06F 11/3452 (2013.01); H05K 7/20745 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for utilizing telemetry data to identify zones within a data center comprised of a plurality of IHSs (Information Handling Systems), the method comprising:
collecting metric data from the plurality of IHSs operating at a plurality of locations within the data center, wherein the metric data collected from individual ones of the plurality of IHSs identifies a respective location of the respective IHS within the data center;
analyzing the data center locations of the IHSs specified in the collected metric data to identify a first metric of the metric data that is correlated with one or more locations of the plurality of locations within the data center;
based at least in part on the first metric that is correlated with the one or more data center locations, identifying a first zone of the data center that comprises a first subset of the plurality of IHSs, wherein a first subset of the metric data, collected from the first subset of the plurality of IHSs within the first zone of the data center, comprises anomalous metric data relative to a second subset of the metric data collected from neighboring IHSs; and
adjusting operations of the data center within the first zone of the data center, identified based at least in part on the first metric of the metric data collected from the individual IHSs that is correlated with the one or more data center locations, in order to address the anomalous metric data within the first subset of metric data collected from the first subset of IHSs.