US 12,712,787 B2 · Power consumption forecasting and maintenance window determination for maintenance of data centers

Abstract

Systems, methods, and techniques described herein relate to forecasting power consumption for maintenance of data centers. In an aspect, a maintenance window request for a requested maintenance task with respect to a data center is received. A machine learning (ML) model utilized to generate a window recommendation result, the model trained to determine a period of time where the task's impact on performance of the data center satisfies an impact criterion. The window recommendation result comprising a window indicating a period of time wherein impact of the requested maintenance task satisfies the impact criterion. Performance of the maintenance task is to be performed during the window. In an alternative aspect, the ML model is trained to forecast power consumption of a data center in a period of time. In this alternative, a maintenance window determiner determines the window recommendation result based on a power consumption forecast of the ML model.

Claims20

Dependent claims

A system comprising:

a processor;
a memory that stores program code executable by the processor, the program code comprising:
a maintenance window determiner that:
receives a maintenance window request for a requested maintenance task with respect to a data center,
utilizes a machine learning (ML) model to determine forecasted power consumption data of the data center based on the maintenance window request, the ML model trained to forecast power consumption of the data center over intervals of time,
determines, based on the forecasted power consumption data, a window recommendation result comprising a window indicating a first period of time in which an impact of the requested maintenance task satisfies an impact criterion of the maintenance window request, and a task performer that:
performs the requested maintenance task during the window.

4 more elements

A computer-implemented method comprising:

receiving a maintenance window request for a requested maintenance task with respect to a data center;
determining forecasted power consumption data of the data center based on the maintenance window request, the forecasted power consumption data representative of an estimation of power consumed by the data center;
determining, based on the forecasted power consumption data, a window recommendation result comprising a window indicating a first period of time in which an impact of the requested maintenance task satisfies an impact criterion of the maintenance window request;
and
causing the requested maintenance task to be performed during the window.

2 more elements

Dependencies are inferred from the claim text.

Power consumption forecasting and maintenance window determination for maintenance of data centers

Life of this patent

Power consumption forecasting and maintenance window determination for maintenance of data centers

Life of this patent

Abstract

Claims20