A distributed machine learning analysis framework for analyzing streaming datasets from computer environments

摘要

Embodiments of the invention relate to a host device that includes a controller configured to receive a set of data elements from a computer infrastructure, the set of data elements comprising at least one computer environment resource of the computer infrastructure. Related to attributes. The controller assigns each data element of the series of data elements to a data holding location based on a temporal statistical identifier associated with each data element of the series of data elements, and associates the training data set with the selected data holding location. The data elements are compared to detect data anomalies associated with the series of data elements. In response to detecting the data anomaly associated with a data element associated with the selected data retention location, the controller is configured to generate a data anomaly notification. [Selection] Figure 1