dor_id: 45763

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351.#.#.b: Journal of Applied Research and Technology

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/148/145

100.1.#.a: Da Ren, Chen; Young Long, Chen; You Shyang, Chen

524.#.#.a: Da Ren, Chen, et al. (2014). Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks. Journal of Applied Research and Technology; Vol. 12 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45763

245.1.0.a: Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2014

264.#.1.c: 2014-12-01

653.#.#.a: Hard real-time systems; Power-aware scheduling; Dynamic voltage scaling; Pinwheel tasks

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041.#.7.h: eng

520.3.#.a: Dynamic voltage/frequency scaling (DVFS) is one of the most effective techniques for reducing energy use. In thispaper, we focus on the pinwheel task model to develop a variable voltage processor with d discrete voltage/speedlevels. Depending on the granularity of execution unit to which voltage scaling is applied, DVFS scheduling can bedefined in two categories (i) inter-task DVFS and (ii) intra-task DVFS. In the periodic pinwheel task model, wemodified the definitions of both intra- and inter-task and design their DVFS scheduling to reduce the powerconsumption of DVFS processors. Many previous approaches have solved DVFS problems by generating a canonicalschedule in advance and thus require pseudo polynomial time and space because the length of a canonical scheduledepends on the hyperperiod of the task periods and is generally of exponential length. To limit the length of thecanonical schedules and predict their task execution, tasks with arbitrary periods are first transformed into harmonicperiods and their key features are profiled. The proposed methods have polynomial time and space complexities, andexperimental results show that, under identical assumptions, the proposed methods achieve more energy savingsthan the previous methods.

773.1.#.t: Journal of Applied Research and Technology; Vol. 12 Núm. 6

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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doi: https://doi.org/10.1016/S1665-6423(14)71663-3

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

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

Da Ren, Chen; Young Long, Chen; You Shyang, Chen

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Da Ren, Chen, et al. (2014). Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks. Journal of Applied Research and Technology; Vol. 12 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45763

Descripción del recurso

Autor(es)
Da Ren, Chen; Young Long, Chen; You Shyang, Chen
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks
Fecha
2014-12-01
Resumen
Dynamic voltage/frequency scaling (DVFS) is one of the most effective techniques for reducing energy use. In thispaper, we focus on the pinwheel task model to develop a variable voltage processor with d discrete voltage/speedlevels. Depending on the granularity of execution unit to which voltage scaling is applied, DVFS scheduling can bedefined in two categories (i) inter-task DVFS and (ii) intra-task DVFS. In the periodic pinwheel task model, wemodified the definitions of both intra- and inter-task and design their DVFS scheduling to reduce the powerconsumption of DVFS processors. Many previous approaches have solved DVFS problems by generating a canonicalschedule in advance and thus require pseudo polynomial time and space because the length of a canonical scheduledepends on the hyperperiod of the task periods and is generally of exponential length. To limit the length of thecanonical schedules and predict their task execution, tasks with arbitrary periods are first transformed into harmonicperiods and their key features are profiled. The proposed methods have polynomial time and space complexities, andexperimental results show that, under identical assumptions, the proposed methods achieve more energy savingsthan the previous methods.
Tema
Hard real-time systems; Power-aware scheduling; Dynamic voltage scaling; Pinwheel tasks
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

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