Smart Update Scheduling for Mobile Devices
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Solution Overview
Problem
Existing systems face challenges in scheduling software and firmware updates efficiently, particularly for devices that are not tied to a single location or have rigid schedules, leading to delays, security breaches, and unintended performance issues due to inadequate timing and user awareness.
Innovation Solution
A computer-implemented method and system that analyzes user schedules, device conditions, and network status to determine optimal times for updates, ensuring minimal disruption and security, by identifying available updates, determining permissions, and scheduling them at convenient times based on factors like battery charge, Wi-Fi connectivity, and past update patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software updates are performed immediately when available, then device security and performance are improved, but user convenience deteriorates due to potential disruption of device usage
Solution Approach 1:
The system performs preliminary analysis of user schedules and device conditions before scheduling updates. It proactively identifies optimal time windows when the device is least likely to be needed, preparing update candidates in advance and scheduling them during predetermined low-usage periods, thus maintaining security while minimizing user disruption
Solution Approach 2:
The update scheduling system dynamically adapts to changing user patterns and device conditions. It continuously monitors usage patterns, battery status, and network availability to adjust update timing, allowing the schedule to flex based on real-time conditions rather than following a rigid predetermined timetable
2Ease of operation
If software updates are delayed to avoid user disruption, then user convenience is maintained, but device security and performance deteriorate due to outdated software
Solution Approach 1:
The system implements continuous feedback loops that monitor both security vulnerability levels and user usage patterns. When security risks exceed thresholds or usage patterns indicate extended periods of non-use, the system adjusts update scheduling priorities accordingly, ensuring updates are performed promptly when security demands it while still respecting user convenience preferences
Solution Approach 2:
The system changes key parameters such as update timing, frequency, and priority based on dynamic conditions including security risk levels, battery charge status, network availability, and predicted user needs. This allows flexible adjustment between immediate updates for critical security patches and delayed updates for less urgent improvements
3Productivity
If updates are scheduled without considering device conditions, then update productivity is improved, but update success rate deteriorates due to insufficient battery charge or poor network connectivity
Solution Approach 1:
The system performs preliminary checks of device conditions including battery charge level, network connectivity status, and storage availability before scheduling updates. It proactively identifies time windows when conditions are favorable for successful updates, ensuring that scheduled updates have high probability of completion without requiring user intervention to address preparatory conditions
4Measurement precision
If manual update scheduling is required, then update timing precision is improved, but system complexity increases due to user awareness and intervention requirements
Solution Approach 1:
The system performs self-service by automatically analyzing user calendars, device usage patterns, and environmental conditions to determine optimal update times without requiring user awareness or manual intervention. Users simply enable the feature and the system autonomously schedules and manages updates based on learned patterns and real-time conditions
Data Source
AI summary
A computer-implemented method for updating a device is disclosed. The computer-implemented method includes identifying that an update associated with the device is available. The computer-implemented method further includes determining whether the available update associated with the device is permitted. The computer-implemented method further includes determining, in response to the available update associated with the device being permitted, an optimal scheduled time for performing the update on the device. The computer-implemented method further performing the update on the device at the scheduled time.