Dynamic Task Scheduling for Foreground Priority Allocation
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Solution Overview
Problem
Current task scheduling methods often allocate inappropriate priorities, leading to low processing efficiency and delays, particularly when a background application has higher priority than a foreground application, resulting in suboptimal resource allocation and poor user experience.
Innovation Solution
A dynamic task scheduling method that determines a target running category for applications based on their status, assigning classification priorities and scheduling priorities accordingly, ensuring that foreground and user-interacting tasks receive higher resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If task priority allocation is based on fixed rules, then scheduling is simple, but foreground tasks may receive lower priority than background tasks leading to poor user experience
Solution Approach 1:
The patent applies dynamics by making task priority allocation dynamic rather than static. The system continuously monitors application running status (foreground/background state) and automatically adjusts task priorities in real-time. This allows foreground tasks to receive higher priority dynamically, improving processing efficiency and user experience while maintaining scheduling simplicity through automated status-based rules.
2Reliability
If background tasks are given high priority, then system stability is improved, but foreground task execution is delayed
Solution Approach 1:
The patent applies local quality by differentiating priority allocation based on task location (foreground vs. background application). Instead of uniform priority rules, the system assigns different priority levels to tasks based on their running status. Foreground tasks receive higher priority to execute promptly, while background tasks receive lower priority, ensuring system stability without delaying critical user-facing operations.
3Productivity
If resource allocation is based on application status, then user experience is improved, but scheduling complexity increases
Solution Approach 1:
The patent applies self-service by enabling the scheduling system to automatically monitor application running status and adjust task priorities without manual intervention. The system serves itself by using built-in status detection mechanisms to make real-time scheduling decisions. This improves user experience through status-aware resource allocation while avoiding the complexity of manual configuration or external control systems.
Data Source
AI summary
A task scheduling method and apparatus, a device, and a medium are provided. According to the task scheduling method, a target running category of an application is determined from a plurality of predefined running categories based on a running status of the application, where applications in different running categories in the plurality of predefined running categories have different importance levels. A target classification priority corresponding to the target running category is determined. A target scheduling priority of a target task in the application is determined based on at least the target classification priority. A resource of a processing system is scheduled to the target task based on the target scheduling priority, for running of the target task.