Offload and share deeper hardware analysis for modular chassis management

Abstract

A modular chassis manager that implements a trained model for hardware prediction failure is programmed to: initiate a training of a machine learning algorithm; and in response to the initiating: make a first determination, based on an offloading policy, that the training is to be offloaded to one of the plurality of edge devices, wherein the offloading policy is generated by the modular chassis manager using system topology information obtained from the edge network, based on the first determination, select an edge device of the plurality of edge devices using the offloading policy, transfer training data to the edge device, instruct the edge device to perform the training using the training data to generate a trained model, and obtain the trained model from the edge device.