Machine learning method to validate run-time rules and detect software/hardware consistency errors for network elements

摘要

A computer-implemented method includes: obtaining platform dependent data and platform independent data from each of a plurality of first network devices for a computer network environment. The received platform dependent data and platform independent data are converted to key-value pairs. Sequences of the key-value pairs representing the configurations and states of the respective first network device are created. Vectors for the sequences of the key-value pairs are generated in a vector space. The vectors are supplied to a model to train the model to learn relationships of the platform dependent data and platform independent data of each of the plurality of first network devices. Platform dependent data and platform independent data from one or more second network devices are supplied to the trained software model to determine consistency of configurations and states of the one or more second network devices.