PC Matic Inc. (20240220230). Smart Software Update System simplified abstract
Contents
Smart Software Update System
Organization Name
Inventor(s)
Matthew Quincy Riley of Owosso MI (US)
Smart Software Update System - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220230 titled 'Smart Software Update System
The abstract describes a system for smart updates that predicts the best time to perform an update by monitoring device activity to ensure minimal user reliance on the device.
- Smart update software predicts update window based on low device activity.
- Inputs from human input devices, network traffic, storage system I/O, audio inputs, camera inputs, etc., are used to determine activity levels.
- Updates are scheduled when there is little or no active remote access to the device.
- The system aims to minimize disruption to users by updating during periods of low activity.
- The technology enhances user experience by optimizing update timing based on device usage patterns.
Potential Applications: - Operating system updates for computers and mobile devices. - Software updates for IoT devices. - Firmware updates for various electronic devices.
Problems Solved: - Minimizing user disruption during updates. - Ensuring updates are performed at optimal times. - Enhancing user experience by scheduling updates intelligently.
Benefits: - Improved user satisfaction with seamless updates. - Reduced chances of updates interrupting critical tasks. - Efficient use of device resources by updating during idle periods.
Commercial Applications: Title: "Optimized Update Scheduler for Enhanced User Experience" This technology can be utilized by software companies to improve the update process for their products, leading to higher customer satisfaction and loyalty. It can also be integrated into IoT devices to ensure timely and efficient firmware updates.
Questions about the technology: 1. How does the smart update software determine the best time to perform an update? - The software analyzes various inputs such as device activity levels to predict optimal update windows. 2. What are the key factors considered when scheduling updates to minimize user disruption? - Factors such as network traffic, human input device usage, and remote access to the device are taken into account to schedule updates effectively.
Original Abstract Submitted
a system for smart updates includes smart update software that predicts an update window by monitoring activity at the device so that the update is performed when there is little or no activity, indicating that a user/users of the device are not relying on the device to perform work and/or there is little or no active remote access to the device. such activity is determined by inputs from human input devices, network traffic, storage system i/o, audio inputs, camera inputs, etc.
