DISTRIBUTED MACHINE LEARNING ANALYTICS FRAMEWORK FOR THE ANALYSIS OF STREAMING DATA SETS FROM A COMPUTER ENVIRONMENT

摘要

Embodiments of the present innovation relate to a host device that includes a configured to receive a set of data elements from a computer infrastructure, the set of data elements relating to at least one attribute of at least one computer environment resource of the computer infrastructure. The controller is configured to assign each data element of the set of data elements to a data retention location based upon a time statistic identifier associated with each data element of the set of data elements and to compare a training data set and the data elements associated with a selected data retention location to detect a data anomaly associated with the set of data elements. In response to detecting the data anomaly associated with the data elements associated with the selected data retention location, the controller is configured to generate a data anomaly notification.

主权项

1. In a host device, a method for analyzing a set of data elements from a computer infrastructure, comprising:
receiving, by the host device, the set of data elements from the computer infrastructure, the set of data elements relating to at least one attribute of at least one computer environment resource of the computer infrastructure; assigning, by the host device, each data element of the set of data elements to a data retention location based upon a time statistic identifier associated with each data element of the set of data elements; comparing, by the host device, a training data set and the data elements associated with a selected data retention location to detect a data anomaly associated with the set of data elements; and in response to detecting the data anomaly associated with the data elements associated with the selected data retention location, generating, by the host device, a data anomaly notification.