Journal of Supercomputing, ( ISI ), Volume (78), No (6), Year (2022-4) , Pages (7729-7748)

Title : ( Online energy-efficient fair scheduling for heterogeneous multi-cores considering shared resource contention )

Authors: Bagher Salami , Hamid Noori , Mahmoud Naghibzadeh ,

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Abstract

Heterogeneous multi-core processors (HMP) are dual-objective hardware platforms which integrate both high-performance and low power consumption processors. Investigation of simultaneous fairness and energy efciency could widen their applicability and reveal their strengths. This paper proposes a scheduling framework considering energy efciency, shared resource contention, and fairness for heterogeneous multi-core processors. The presented framework is implemented and evaluated on a real HMP platform. The obtained experimental results via SPEC CPU2006 benchmark indicate that the proposed framework surpasses Linux and four other schedulers in terms of fairness (58% on average) and energy efciency (37% on average). The source code of the proposed framework and the opponent algorithms are available online at https://github.com/baghers/CEEF.

Keywords

, Shared resource contention · Energy efficiency · Fairness · Scheduling · Heterogeneous multi, core · big.LITTLE
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@article{paperid:1088153,
author = {Salami, Bagher and Noori, Hamid and Naghibzadeh, Mahmoud},
title = {Online energy-efficient fair scheduling for heterogeneous multi-cores considering shared resource contention},
journal = {Journal of Supercomputing},
year = {2022},
volume = {78},
number = {6},
month = {April},
issn = {0920-8542},
pages = {7729--7748},
numpages = {19},
keywords = {Shared resource contention · Energy efficiency · Fairness · Scheduling · Heterogeneous multi-core · big.LITTLE},
}

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%0 Journal Article
%T Online energy-efficient fair scheduling for heterogeneous multi-cores considering shared resource contention
%A Salami, Bagher
%A Noori, Hamid
%A Naghibzadeh, Mahmoud
%J Journal of Supercomputing
%@ 0920-8542
%D 2022

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