EVENT PREDICTION USING HISTORICAL TIME SERIES OBSERVATIONS OF A COMPUTER APPLICATION

摘要

A monitoring system may compare currently observed time series segments to previously identified time series segments that may be precursors to an event. The event may be predicted when a correlation is observed between the time series segments. An event may be identified by a human observer who may identify and classify the event. In some cases, an event may be identified by observing an anomalous behavior and automatically identifying the behavior. The monitoring system may aggregate observed time series from multiple runs of the same application on the same or different execution platform, similar applications on the same or different execution platforms, similar or different users, or any other application on the same or different execution platforms. The identified events may be organized as a set of events that may be applied to new applications to predict events based on observations of other applications.

主权项

1. A method performed on at least one computer processor, said method comprising:
identifying a first event that occurred while monitoring a computer application; searching for said first event in a historical database, said historical database comprising time series observations for said computer application, and returning a set of instances for said first event; identifying a plurality of time series instances, each of said time series instances being time series segments preceding an instance of said first event; combining said plurality of time series instances to create a reference time series, said reference time series being a precursor for said first event.