OS Shutdown Sequencing Prioritizing User Input Tasks
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Solution Overview
Problem
During computer OS shutdown or restart sequences, user input prompts for tasks like saving files can stall the process, especially if users are not present, and existing automation methods may result in inappropriate shutdown or restart times.
Innovation Solution
A method that creates a list of running tasks to terminate, determines which require user input, and uses a machine learning model to prioritize these tasks based on historical data, ensuring user input is requested as early as possible and learning from user interactions to optimize the shutdown sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user input prompts are displayed during OS shutdown sequence, then user can save files and provide input, but shutdown process stalls and delays
Solution Approach 1:
The system performs preliminary actions by detecting which tasks require user input before initiating the shutdown sequence. It creates a prioritized list of tasks that need user input and schedules them to be handled first, allowing the shutdown process to proceed efficiently without unnecessary delays from unrelated tasks.
Solution Approach 2:
The shutdown sequence becomes dynamic by continuously monitoring which tasks require user input and adjusting the termination order accordingly. The system dynamically prioritizes tasks based on their user input requirements, changing the shutdown sequence from a static predetermined order to an adaptive process that responds to task characteristics.
2Extent of automation
If existing automation methods are used for shutdown sequencing, then shutdown can proceed without user input, but inappropriate shutdown or restart times occur
Solution Approach 1:
The system incorporates feedback by monitoring user interactions with tasks during shutdown and using this information to learn and improve future shutdown sequencing. The feedback loop allows the system to adjust its automation behavior based on actual user patterns, ensuring more accurate and appropriate shutdown timing in the future.
Solution Approach 2:
The system performs self-service by automatically detecting which tasks require user input and managing the shutdown sequence without continuous user intervention. It autonomously prioritizes tasks, handles user input requirements, and coordinates the shutdown process, reducing the need for manual user involvement while maintaining appropriate timing.
3Device complexity
If tasks are terminated in a fixed order during shutdown, then shutdown sequence is simple to implement, but user input prompts appear in different orders causing stalls
Solution Approach 1:
The shutdown sequence transitions from a static fixed order to a dynamic adaptive sequence that automatically adjusts based on task characteristics. The system dynamically determines the termination order by analyzing which tasks require user input, ensuring efficient shutdown while managing complexity through automated detection and prioritization.
Solution Approach 2:
The system changes the parameter of task termination order from a fixed sequence to a variable sequence based on task priorities. By changing the order parameter dynamically according to user input requirements, the system optimizes shutdown efficiency without significantly increasing implementation complexity.
Data Source
AI summary
An embodiment for improving a shutdown sequencing of a computer operating system (OS) is provided. The embodiment may include receiving a command to initiate an OS shutdown. The embodiment may also include creating a first list of running tasks to terminate. The embodiment may further include in response to determining there is no historical data, sending a termination request to a particular running task. The embodiment may also include in response to determining the particular running task requires user input to terminate, increasing a weight of the particular running task. The embodiment may further include in response to determining there is an additional particular running task in the created first list, sending the termination request to the additional particular running task. The embodiment may also include in response to determining the additional particular running task requires the user input to terminate, increasing the weight of the additional particular running task.