Configuring heterogeneous computing environments using machine learning

摘要

In one embodiment, a device receives data regarding a plurality of heterogeneous computing environments. The received data comprises measured application metrics for applications executed in the computing environments and indications of processing capabilities of the computing environments. The device generates a training dataset by applying a machine learning-based classifier to the received data regarding the plurality of existing heterogeneous environments. The device trains a machine learning-based configuration engine using the training dataset. The device uses the configuration engine to generate configuration parameters for a particular heterogeneous computing environment based on one or more system requirements of the particular heterogeneous computing environment. The device provides the configuration parameters to the particular heterogeneous computing environment.