Methods and apparatus for load balance optimization based on machine learning

摘要

An apparatus includes a processor, an operating system executed by the processor, and a memory storing code executed by the processor to receive performance data from the operating system and from other compute devices. The apparatus includes a machine learning model trained with the performance data. The apparatus uses the machine learning model to predict workload values of the apparatus and other compute devices. The workload values are predicted for a future time window. The apparatus commands an execution of a data transformation task of a first dataset, based on the predicted workload values and criteria to reduce time consumed in the execution of the data transformation task. Thereafter, the apparatus receives a notification signal indicative of a completion of the data transformation task, and an indicator associated with a second dataset different from the first dataset, produced from the execution of the data transformation task.