基于任务同步的异构多核实时任务划分算法OA

To address the problem of simultaneously optimizing task synchronization and system energy consumption in heterogeneous multi-core environments,an algorithm named least loss energy density-synchronization task partitioning(LLED-STP)based on task synchronization was proposed.The algorithm prioritized the task with the greatest current impact on system energy consumption by analyzing and sorting the energy density differences of tasks across different cores.In the subsequent stage of assigning processor cores to tasks,the algorithm comprehensively considered both resource correlation and energy density difference to select the optimal core for each task,and the schedulability constraint was always ensured,thereby guaranteeing the overall schedulability of the system while reducing the total energy consumption of system scheduling.Experiment results show that under the experimental sets,the proposed algorithm has a schedulability ratio of 3％to 28％higher than other algorithms,and saves energy consumption of more than 13％.