Flexible Mixed-Criticality Task Scheduling and Energy Optimization
Yaqin Wang, Youlin Ruan · 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2020
The concept of mixed-criticality systems has become increasingly common in embedded systems. In this paper, we improved the service level reduction method for low-criticality tasks in the flexible mixed-criticality (FMC) model. During operation, the service level of low-criticality tasks will be dynamically reduced, from fair distribution to equal-equity allocation, increasing the percentage of low-criticality tasks to be executed while guaranteeing the scheduling of mixed-criticality systems. At the same time, DVFS technology is introduced to dynamically adjust the system's operating rate based on the utilization of the tasks to optimize the energy consumption of the system.