US 12,224,923 B1
Data center cluster performance forecasting via a data center monitoring and management operation
Fatemeh Azmandian, Raynham, MA (US); James Snyder, Rockledge, FL (US); Matthew R. Cullen, Derry, NH (US); Sumeet Dhameja, North York (CA); Deepak Krishna, Newcastle, WA (US); Tsehsin Liu, Wellesley, MA (US); and Joachim N. Hansson, Monroe, WA (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jul. 31, 2023, as Appl. No. 18/228,159.
Int. Cl. H04L 43/0876 (2022.01); H04L 41/0823 (2022.01); H04L 41/0894 (2022.01); H04L 41/16 (2022.01)
CPC H04L 43/0876 (2013.01) [H04L 41/0823 (2013.01); H04L 41/0894 (2022.05); H04L 41/16 (2013.01)] 26 Claims
OG exemplary drawing
 
1. A computer-implementable method for performing a data center monitoring and management operation, comprising:
establishing a secure communication channel over a network between a connectivity management system client of a data center asset and a connectivity management system aggregator of a connectivity management system of a data center monitoring and management console;
receiving data center asset telemetry information from the data center asset contained within a data center, the data center asset telemetry information being received by a resource utilization forecasting system executing on the data center monitoring and management console, the data center asset elementary information being received via the secure communication channel;
processing the data center asset telemetry information to provide a performance indicator metric, the performance indicator metric comprising a key performance indicator (KPI) metric;
training a resource utilization forecasting machine learning model using the KPI metric of the performance indicator metric, the resource utilization forecasting machine learning model comprising a model used to forecast utilization of the data center asset, a resource associated with the data center asset, or a combination thereof; and,
using the resource utilization forecasting machine learning model to provide a data center asset resource utilization forecast.