公开(公告)号：US20210216860A1

公开(公告)日：2021-07-15

申请号：US16742594

申请日：2020-01-14

Applicant: VMware, Inc.

Inventor： Arnak Poghosyan ,  Narek Hovhannisyan ,  Sirak Ghazaryan ,  George Oganesyan ,  Clement Pang ,  Ashot Nshan Harutyunyan ,  Naira Movses Grioryan

IPC: G06N3/08 ,  G06F16/2458 ,  G06N3/04

Abstract: The current document is directed to methods and systems that generate forecasts based on input time-series data using a forecasting neural network or other machine-learning-based forecasting subsystem. In various implementations, an input time series is first classified and then transformed, based on the classification, to a corresponding stationary time series. The corresponding stationary time series is then submitted to a neural network or other machine-learning-based forecasting subsystem to generate an initial forecast for future time points. The initial forecast is then inverse transformed, based on the input-time-series classification, to generate a final, output forecast.

公开(公告)号：US20210216849A1

公开(公告)日：2021-07-15

申请号：US17151610

申请日：2021-01-18

Applicant: VMware, Inc.

Inventor： Arnak Poghosyan ,  Narek Hovhannisyan ,  Sirak Ghazaryan ,  George Oganesyan ,  Clement Pang ,  Ashot Nshan Harutyunyan ,  Naira Movses Grigoryan

IPC: G06N3/04 ,  G06N3/08

Abstract: The current document is directed to methods and systems that generate forecasts based on input time-series data using a forecasting neural network or other machine-learning-based forecasting subsystem. In various implementations, an input time series is first classified and then transformed, based on the classification, to a corresponding stationary time series. The corresponding stationary time series is then submitted to a neural network or other machine-learning-based forecasting subsystem to generate an initial forecast for future time points. The initial forecast is then inverse transformed, based on the input-time-series classification, to generate a final, output forecast.

公开(公告)号：US20210216848A1

公开(公告)日：2021-07-15

申请号：US17128089

申请日：2020-12-19

Applicant: VMware, Inc.

Inventor： Arnak Poghosyan ,  Ashot Nshan Harutyunyan ,  Naira Movses Grigoryan ,  Clement Pang ,  George Oganesyan ,  Sirak Ghazaryan ,  Narek Hovhannisyan

IPC: G06N3/04 ,  G06N3/08

Abstract: The current document is directed to improved system monitoring and management tools and methods based on generation an anomaly signal from time-series data collected from components of a computer system, providing improved system monitoring and management. The time series data comprises a time-ordered sequence of metric datapoints that is received over a period of time. At each of a set of discrete, successive time points within the period of time, a datapoint for the anomaly signal is generated from a forecast generated from a preceding set of time-series datapoints, referred to as a “history window,” and a short segment of the time series, referred to as the “observation window,” extending forward in time from the most recently datapoint in the history window. The anomaly signal predicts incipient anomalous conditions in the computer system.