RESEARCH ON RESOURCE SCHEDULING MODEL OF CONSTANT TEMPERATURE CONTROL FOR SINGLE CHIP EMBEDDED SYSTEM

The traditional control resource scheduling model uses the partitioning of the thermostatic control process to partition the scheduling, which has problems such as low efficiency, poor thermostatic control effect and wasted scheduling resources. In order to solve the above problems, the research constructs a thermostatic control resource scheduling model for microcontroller embedded systems. Using a combination of hardware counters and task heat feature portrayal criteria, we obtain the temperature data of the microcontroller embedded system and analyze the thermostatic control load characteristics of the microcontroller based on the data. After predicting the resource scheduling capacity using the parallel decision tree algorithm, the thermostatic control resource scheduling model is constructed. The comparison test data with the two traditional models show that the average maximum temperature of the microcontroller applying this scheduling model is 60.3°, which is lower than the two traditional models, and has the advantages of short duration of maximum temperature and low energy consumption of the microcontroller.