Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks

 

Chen Da-Ren*¹, Chen Young-Long² and Chen You-Shyang³

 

¹ Department of Information Management, National Taichung University of Science and Technology, Taichung city, Taiwan, R.O.C. *danny@nutc.edu.tw

² Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung city, Taiwan, R.O.C.

³ Department of Information Management, Hwa Hsia University of Technology, New Taipei city, Taiwan, R.O.C.

 

Abstract

Dynamic voltage/frequency scaling (DVFS) is one of the most effective techniques for reducing energy use. In this paper, we focus on the pinwheel task model to develop a variable voltage processor with d discrete voltage/speed levels. Depending on the granularity of execution unit to which voltage scaling is applied, DVFS scheduling can be defined in two categories: (i) inter-task DVFS and (ii) intra-task DVFS. In the periodic pinwheel task model, we modified the definitions of both intra- and inter-task and design their DVFS scheduling to reduce the power consumption of DVFS processors. Many previous approaches have solved DVFS problems by generating a canonical schedule in advance and thus require pseudo polynomial time and space because the length of a canonical schedule depends on the hyperperiod of the task periods and is generally of exponential length. To limit the length of the canonical schedules and predict their task execution, tasks with arbitrary periods are first transformed into harmonic periods and their key features are profiled. The proposed methods have polynomial time and space complexities, and experimental results show that, under identical assumptions, the proposed methods achieve more energy savings than the previous methods.

Keywords: Hard real-time systems, Power-aware scheduling, Dynamic voltage scaling, Pinwheel tasks.

 

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Aknowledgments

The author would like to thank the National Science Council of the Republic of China, Taiwan, for financially supporting this research under Contract No. NSC 102-2221-E-025-003.

 

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