18508654. PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY simplified abstract (Bank of America Corporation)

PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY

Organization Name

Bank of America Corporation

Inventor(s)

Maharaj Mukherjee of Poughkeepsie NY (US)

Carl M. Benda of Kannapolis NC (US)

Elvis Nyamwange of Little Elm TX (US)

Utkarsh Raj of Charlotte NC (US)

Suman Roy Choudhury of Berkeley Heights NJ (US)

Vidya Srikanth of Sunnyvale CA (US)

Colin Murphy of Charlotte NC (US)

PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY - A simplified explanation of the abstract

This abstract first appeared for US patent application 18508654 titled 'PERFORMANCE MONITORING SYSTEM USING AGGREGATED TELEMETRY

Simplified Explanation

The patent application describes a system for performance monitoring using aggregated telemetry data from multiple monitoring engines. The system uses machine learning to determine the overall resiliency status of a device based on the metadata and resiliency status received from the monitoring engines. It then generates notifications and actions based on the overall resiliency status, and transmits control signals to display the notification on a user input device.

• The system receives metadata and resiliency status from multiple monitoring engines.
• Machine learning is used to determine the overall resiliency status of the device.
• Notifications and actions are generated based on the overall resiliency status.
• Control signals are transmitted to display the notification on a user input device.

Potential Applications

This technology can be applied in various industries such as IT, telecommunications, and manufacturing for real-time performance monitoring and management of devices.

Problems Solved

This technology solves the problem of efficiently monitoring and managing the resiliency status of devices by aggregating telemetry data from multiple sources and using machine learning to determine the overall status.

Benefits

The benefits of this technology include improved device resiliency, proactive maintenance, and optimized performance based on real-time monitoring and actionable insights.

Potential Commercial Applications

One potential commercial application of this technology is in cloud computing services, where ensuring high availability and performance of devices is critical for customer satisfaction and service reliability.

Possible Prior Art

One possible prior art for this technology could be existing systems for performance monitoring and management that use machine learning algorithms for predictive maintenance and fault detection.

Original Abstract Submitted

Systems, computer program products, and methods are described herein for performance monitoring using aggregated telemetry. The present disclosure is configured to receive, from the first performance monitoring engine, a first metadata associated with the first resiliency status; receive, from the second performance monitoring engine, a second metadata associated with the second resiliency status; determine, using a machine learning (ML) subsystem, an overall resiliency status of the device based on at least the first metadata, the second metadata, the first resiliency status, and the second resiliency status; determine one or more actions to be executed on the device, wherein the one or more actions are associated with the overall resiliency status; generate a notification indicating the overall resiliency status of the device and the one or more actions associated with the overall resiliency status; and transmit control signals configured to cause a user input device to display the notification.