摘要
信息物理系统任务调度中计算时序约束与硬件能耗阈值存在冲突,难以保证执行顺序正确。为此,提出一种任务调度权限控制策略。采用超致密时间模型表达全局时间信号,以事件的剩余价值密度、执行积极性、资源消耗3个约束条件刻画任务的价值量、截止期及能耗,为任务实时分配设备与资源,减少颠簸现象。仿真结果表明,该策略能提高任务累积价值,降低能耗与执行时间,使系统获取更高的综合效益。
The computer temporal constraint and the hardware energy consumption threshold may have a conflict,when the tasks of Cyber-physical System（ CPS） are scheduled,and that cannot guarantee correct execution sequence. In order to solve this problem,a control strategy of task scheduling permissions is proposed. Super-dense time model is used to express global time signal. The remainder value density,execution enthusiasm and resource consumption of events are used to represent the quantity of value,deadline and energy consumption of tasks. Equipment and resources are distributed for real-time tasks,and the occurrence of thrashing are reduced. Simulation results showthat this strategy can improve the cumulative value of tasks,and reduces the energy consumption and execution time,achieves higher overall efficiency of the system.
出处
《计算机工程》
CAS
CSCD
北大核心
2017年第4期60-66,共7页
Computer Engineering
基金
国家自然科学基金(61562051)
云南省应用基础研究计划重点项目(2014FA029)
关键词
信息物理融合系统
调度权限
价值量
截止期
能耗
Cyber-physical System（CPS）
scheduling permission
quantity of value
deadline
energy consumption
