Scheduling on heterogeneous DVFS multiprocessor platforms

Dawei Li, Jie Wu

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

As can be seen, a lot of research has been done for homogeneous platforms; comparatively, less has been done for heterogeneous platforms. As heterogeneous platforms are becoming more and more popular, energy-aware scheduling on heterogeneous platforms also needs further research focus. This chapter surveys existing works for energy-aware scheduling on heterogeneous platforms. It consists of three sections: frame-based tasks [26, 27], tasks with precedence constraints [29], and periodic tasks [30–33]. Actually, both [31] and [32] consider frame-based tasks and periodic tasks simultaneously; we put them under the category of periodic tasks. To the best of our knowledge, little has been done for energy-aware sporadic task scheduling on heterogeneous multiprocessor platforms.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages41-52
Number of pages12
Edition9781461452232
DOIs
StatePublished - 1 Jan 2013

Publication series

NameSpringerBriefs in Computer Science
Number9781461452232
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

Fingerprint

Scheduling

Keywords

  • Completion time
  • Energy consumption
  • Periodic task
  • Schedule length
  • Sporadic task

Cite this

Li, D., & Wu, J. (2013). Scheduling on heterogeneous DVFS multiprocessor platforms. In SpringerBriefs in Computer Science (9781461452232 ed., pp. 41-52). (SpringerBriefs in Computer Science; No. 9781461452232). Springer. https://doi.org/10.1007/978-1-4614-5224-9_4
Li, Dawei ; Wu, Jie. / Scheduling on heterogeneous DVFS multiprocessor platforms. SpringerBriefs in Computer Science. 9781461452232. ed. Springer, 2013. pp. 41-52 (SpringerBriefs in Computer Science; 9781461452232).
@inbook{4abcdf3f111c4f2687d132beefc9e0cf,
title = "Scheduling on heterogeneous DVFS multiprocessor platforms",
abstract = "As can be seen, a lot of research has been done for homogeneous platforms; comparatively, less has been done for heterogeneous platforms. As heterogeneous platforms are becoming more and more popular, energy-aware scheduling on heterogeneous platforms also needs further research focus. This chapter surveys existing works for energy-aware scheduling on heterogeneous platforms. It consists of three sections: frame-based tasks [26, 27], tasks with precedence constraints [29], and periodic tasks [30–33]. Actually, both [31] and [32] consider frame-based tasks and periodic tasks simultaneously; we put them under the category of periodic tasks. To the best of our knowledge, little has been done for energy-aware sporadic task scheduling on heterogeneous multiprocessor platforms.",
keywords = "Completion time, Energy consumption, Periodic task, Schedule length, Sporadic task",
author = "Dawei Li and Jie Wu",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/978-1-4614-5224-9_4",
language = "English",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
number = "9781461452232",
pages = "41--52",
booktitle = "SpringerBriefs in Computer Science",
edition = "9781461452232",

}

Li, D & Wu, J 2013, Scheduling on heterogeneous DVFS multiprocessor platforms. in SpringerBriefs in Computer Science. 9781461452232 edn, SpringerBriefs in Computer Science, no. 9781461452232, Springer, pp. 41-52. https://doi.org/10.1007/978-1-4614-5224-9_4

Scheduling on heterogeneous DVFS multiprocessor platforms. / Li, Dawei; Wu, Jie.

SpringerBriefs in Computer Science. 9781461452232. ed. Springer, 2013. p. 41-52 (SpringerBriefs in Computer Science; No. 9781461452232).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Scheduling on heterogeneous DVFS multiprocessor platforms

AU - Li, Dawei

AU - Wu, Jie

PY - 2013/1/1

Y1 - 2013/1/1

N2 - As can be seen, a lot of research has been done for homogeneous platforms; comparatively, less has been done for heterogeneous platforms. As heterogeneous platforms are becoming more and more popular, energy-aware scheduling on heterogeneous platforms also needs further research focus. This chapter surveys existing works for energy-aware scheduling on heterogeneous platforms. It consists of three sections: frame-based tasks [26, 27], tasks with precedence constraints [29], and periodic tasks [30–33]. Actually, both [31] and [32] consider frame-based tasks and periodic tasks simultaneously; we put them under the category of periodic tasks. To the best of our knowledge, little has been done for energy-aware sporadic task scheduling on heterogeneous multiprocessor platforms.

AB - As can be seen, a lot of research has been done for homogeneous platforms; comparatively, less has been done for heterogeneous platforms. As heterogeneous platforms are becoming more and more popular, energy-aware scheduling on heterogeneous platforms also needs further research focus. This chapter surveys existing works for energy-aware scheduling on heterogeneous platforms. It consists of three sections: frame-based tasks [26, 27], tasks with precedence constraints [29], and periodic tasks [30–33]. Actually, both [31] and [32] consider frame-based tasks and periodic tasks simultaneously; we put them under the category of periodic tasks. To the best of our knowledge, little has been done for energy-aware sporadic task scheduling on heterogeneous multiprocessor platforms.

KW - Completion time

KW - Energy consumption

KW - Periodic task

KW - Schedule length

KW - Sporadic task

UR - http://www.scopus.com/inward/record.url?scp=84921725078&partnerID=8YFLogxK

U2 - 10.1007/978-1-4614-5224-9_4

DO - 10.1007/978-1-4614-5224-9_4

M3 - Chapter

AN - SCOPUS:84921725078

T3 - SpringerBriefs in Computer Science

SP - 41

EP - 52

BT - SpringerBriefs in Computer Science

PB - Springer

ER -

Li D, Wu J. Scheduling on heterogeneous DVFS multiprocessor platforms. In SpringerBriefs in Computer Science. 9781461452232 ed. Springer. 2013. p. 41-52. (SpringerBriefs in Computer Science; 9781461452232). https://doi.org/10.1007/978-1-4614-5224-9_4