Multiprocessor platform hybrid criticality system task scheduling method
By employing a fixed-priority preemption threshold scheduling and task partitioning method on a multiprocessor platform, the issues of schedulability and stack space usage in mixed-criticality systems are resolved, achieving efficient task allocation and low-cost system optimization.
Patent Information
- Application Number
- CN202110195872.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-02-22
- Publication Date
- 2026-07-24
- Estimated Expiration
- 2041-02-22
AI Technical Summary
Existing multiprocessor hybrid criticality system scheduling algorithms have shortcomings in terms of system schedulability and stack space usage, especially poor schedulability when the task set utilization is low, and they fail to effectively optimize system stack space consumption.
A fixed-priority preemption threshold scheduling method is adopted to divide mixed-criticality tasks into light tasks and heavy tasks, and allocate them according to the differences in processor utilization. Combined with a greedy full search method, the task allocation is optimized to reduce the number of task preemptions and stack space usage.
It improves system schedulability, reduces stack space usage, lowers hardware costs, and optimizes task allocation efficiency.