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针对多任务在多执行器节点的协作问题,提出一种多目标任务调度策略.该策略以执行任务的最大完成时间、能耗均衡指标和存储成本为目标,将任务调度建模成多目标优化问题,并运用理想点法解决不同目标量纲的差异性,进而转化为单目标优化问题求解,从而得到各任务在执行器节点上的局部最优执行方案.仿真结果表明,3个优化指标均得到一定程度的改善.
Aiming at the problem of multitask cooperation in multi-actuator nodes, a multi-task scheduling strategy is proposed, which takes the task of maximum task completion time, energy balance index and storage cost as the goal, the task scheduling is modeled as multi-objective optimization Problem, and use the ideal point method to solve the difference of different target dimensions, and then transformed into single-objective optimization problem solving, so as to get the local optimal execution plan of each task on the actuator nodes.The simulation results show that the three optimization indexes Get a certain degree of improvement.