Energy-efficient fixed priority scheduling for imprecise mixed-criticality tasks on multi-processor platforms

Key Points

• The aim is to develop an energy-efficient scheduling method for mixed-criticality tasks in multi-processor environments.
• Developed a scheduling algorithm based on fixed priority
• Considered task imprecision to optimize energy consumption
• Evaluated performance across different multi-processor configurations
• Achieved significant energy savings without compromising task performance
• Improved task completion rates under varying criticality levels
• Demonstrated scalability of the scheduling algorithm for larger task sets