Energy-Aware Scheduling with Dynamic Voltage Scaling

Wang, Weixun; Mishra, Prabhat; Ranka, Sanjay

doi:10.1007/978-1-4614-0278-7_5

Cited by 1 publication

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References 28 publications

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“…In the last decade, energy-aware computing has been widely applied not only for portable electronic devices, but also for large systems which incur large costs for energy and cooling. With dynamic voltage/frequency scaling (DVFS) techniques [3,7,8,9,10,11,12,15,16,17,18,19], processors can perform at a range of voltages and frequencies. In the CMOS processors, the energy consumption is at least a quadratic function of its supply voltage (and hence the processor frequency) [3,7,8,19,20,21], and total energy consumption could be minimized by sharing slack time while satisfying the time constraints of the tasks.…”

Section: Introductionmentioning

confidence: 99%

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

Chen

2014

Journal of Applied Research and Technology

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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.

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Section: Introductionmentioning

confidence: 99%

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

Chen

2014

Journal of Applied Research and Technology

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Energy-Aware Scheduling with Dynamic Voltage Scaling

Cited by 1 publication

References 28 publications

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

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

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