Low-power algorithm for EDZL scheduling on multicore processors

Xuefeng Piao; Heeheon Kim; Yookun Cho; Sangchul Han; Minkyu Paxk; Moonju Park; Seongje Cho

Low-power algorithm for EDZL scheduling on multicore processors

Xuefeng Piao
, Heeheon Kim
, Yookun Cho
, Sangchul Han^*
, Minkyu Paxk
, Moonju Park
, Seongje Cho

^*Corresponding author for this work

Seoul National University
Konkuk University
Incheon National University
Dankook University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

As the multicore processors are widely used in embedded real-time systems, energy saving on multicore architecture is becoming more important. In this paper, we address the problem of reducing energy consumption of real-time tasks on global EDZL(Earliest Deadline Zero Laxity) which is known to be at least as effective as global EDF in task scheduling. A low-power algorithm is proposed to determine a static speed for EDZL on a multicore processor. Then we show the effectiveness of our algorithm through extensive simulation.

Original language	English
Pages (from-to)	1613-1628
Number of pages	16
Journal	Information
Volume	14
Issue number	5
State	Published - May 2011
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Dynamic voltage scaling
Earliest Deadline Zero Laxity
Multicore processor
Task scheduling

Cite this

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title = "Low-power algorithm for EDZL scheduling on multicore processors",

abstract = "As the multicore processors are widely used in embedded real-time systems, energy saving on multicore architecture is becoming more important. In this paper, we address the problem of reducing energy consumption of real-time tasks on global EDZL(Earliest Deadline Zero Laxity) which is known to be at least as effective as global EDF in task scheduling. A low-power algorithm is proposed to determine a static speed for EDZL on a multicore processor. Then we show the effectiveness of our algorithm through extensive simulation.",

keywords = "Dynamic voltage scaling, Earliest Deadline Zero Laxity, Multicore processor, Task scheduling",

author = "Xuefeng Piao and Heeheon Kim and Yookun Cho and Sangchul Han and Minkyu Paxk and Moonju Park and Seongje Cho",

year = "2011",

month = may,

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T1 - Low-power algorithm for EDZL scheduling on multicore processors

AU - Piao, Xuefeng

AU - Kim, Heeheon

AU - Cho, Yookun

AU - Han, Sangchul

AU - Paxk, Minkyu

AU - Park, Moonju

AU - Cho, Seongje

PY - 2011/5

Y1 - 2011/5

N2 - As the multicore processors are widely used in embedded real-time systems, energy saving on multicore architecture is becoming more important. In this paper, we address the problem of reducing energy consumption of real-time tasks on global EDZL(Earliest Deadline Zero Laxity) which is known to be at least as effective as global EDF in task scheduling. A low-power algorithm is proposed to determine a static speed for EDZL on a multicore processor. Then we show the effectiveness of our algorithm through extensive simulation.

AB - As the multicore processors are widely used in embedded real-time systems, energy saving on multicore architecture is becoming more important. In this paper, we address the problem of reducing energy consumption of real-time tasks on global EDZL(Earliest Deadline Zero Laxity) which is known to be at least as effective as global EDF in task scheduling. A low-power algorithm is proposed to determine a static speed for EDZL on a multicore processor. Then we show the effectiveness of our algorithm through extensive simulation.

KW - Dynamic voltage scaling

KW - Earliest Deadline Zero Laxity

KW - Multicore processor

KW - Task scheduling

UR - https://www.scopus.com/pages/publications/84860124899

M3 - 文章

AN - SCOPUS:84860124899

SN - 1343-4500

VL - 14

SP - 1613

EP - 1628

JO - Information

JF - Information

IS - 5

ER -

Low-power algorithm for EDZL scheduling on multicore processors

Abstract

UN SDGs

Keywords

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