多处理器系统可靠性约束下的节能调度算法

针对多处理器系统中随机到达的任务,设计了可靠性约束下的节能调度算法(ESACR)。该算法在满足任务截止期限的前提下选择一个预计产生能耗最小的处理器以节能,在单个处理器上运用最早截止期限优先策略进行调度并尽量使各个任务的执行电压/频率均衡,当新到任务在处理器上不能满足截止期限要求时则逐个调高前面未执行任务的电压/频率。同时,为保证系统的可靠性,ESACR给正在执行的任务预留错误恢复时间以保证当发生瞬时错误时该任务能被恢复。实验结果表明,与最高电压节能调度(HVEA)、最小能耗最小完成时间调度(ME-MC)、最早完成时间优先调度(EFF)相比,ESACR在保证系统可靠性的前提下节能效果最好。

Energy-efficient scheduling algorithm under reliability constraint in multiprocessor system

A kind of Energy-efficient Scheduling Algorithm under the Constraint of Reliability (ESACR) for the random tasks in multiprocessor system was proposed. It would choose the processor which might consume the least energy when the task's deadline could be guaranteed. For the signal processor, Earliest Deadline First (EDF) strategy was used to schedule the tasks and all the tasks were made execute in the same voltage/frequency. When the new task could not match the deadline, the non-execution voltage/frequency of former tasks would be raised. At the same time, the recovery time was reserved for the executing task in order to promise that the task could be rescheduled when errors happened. The simulation shows that the ESACR can provide the better energy efficiency with the guarantee of system reliability , compared to Highest Voltage Energy-Aware (HVEA), Minimum Energy Minimum Completion time (ME-MC) and Earliest Finish First (EFF).