Procrastination determination for periodic realtime tasks in leakage-aware dynamic voltage scaling systems

Many computing systems have adopted the dynamic voltage scaling (DVS) technique to reduce energy consumption by slowing down op-eration speed. However, the longer a job executes, the more energy in leakage current the processor consumes for the job. To reduce the power/energy consumption from the leakage current, a processor can enter the dormant mode. Existing research results for leakage-aware DVS scheduling perform procrastination of real-time jobs greedily so that the idle time can be aggregated as long as possible to turn off the processor. This paper proposes algorithms for the procrastination deter-mination of periodic real-time tasks in uniprocessor systems. Instead of greedy procrastination, the procrastination procedures are applied only when the evaluated energy consumption is less than not procrastina-tion. Evaluation results show that our proposed algorithms could derive energy-efficient solutions and outperform existing algorithms