USA As Represented by Secretary of the Navy

Intuit, Inc.

Chun-Che Peng

Sen Lin

Sunny James Fugate

Navin Kumar Jammula

Daniel Carl Grady

Xiaotang Shao

Shreyas Badiger Mahadev

Zihan Jiang

Yuxuan Zhu

Estela Ramirez Ramirez

Hui Luo

Certain aspects of the disclosure provide techniques for predictive autoscaling. A method includes determining resource utilization metrics for a plurality of instances of a service running in a container-based cluster for a plurality of timestamps over a period of time; applying a smoothing filter to the resource utilization metrics to obtain smoothed resource utilization metrics; adjusting each of the smoothed resource utilization metrics by a nominal value; calculating a plurality of ratio metrics for the smoothed resource utilization metrics; processing, with a machine learning (ML) model trained to perform resource utilization forecasting, the plurality of ratio metrics and to predict a future ratio metric for the service after a prediction time window; determining a future resource utilization for the service after the prediction time window based on the future ratio metric; and automatically adjusting configuration parameter(s) to modify a state of the container-based cluster based on the future resource utilization.

Resource utilization forecasting for predictive autoscaling

A method comprising the steps of: displaying primary data having a first sensitivity level on a first display screen that is operatively coupled to a first computer; capturing an image of the first display screen with an image capture device that is operatively coupled to a second computer that is communicatively isolated from the first computer such that no data is shared between the first and second computers; executing with the second computer a display recognition and characterization algorithm to recognize the primary data based only on the captured image of the first display screen; and augmenting the primary data by displaying secondary data on a second display, wherein the secondary data is related to, and has a higher sensitivity level than, the primary data.

Augmented reality cross-domain solution for physically disconnected security domains

Growing community of inventors

San Diego, CA, United States of America

Chun-Che Peng