IEEE Transactions on Computers, ( ISI ), Volume (70), No (1), Year (2020-1) , Pages (72-82)

Title : ( Fairness-Aware Energy Efficient Scheduling on Heterogeneous Multi-Core Processors )

Authors: Bagher Salami , Hamid Noori , Mahmoud Naghibzadeh ,

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Heterogeneous multi-core processors (HMP) with the same instruction set architecture (ISA) integrate complex high performance big cores with power efficient small cores on the same chip. In comparison with homogeneous architectures, HMPs have been shown to significantly increase energy efficiency. However, current techniques to exploit the energy efficiency of HMPs do not consider fair usage of resources that leads to reduced performance predictability, a longer makespan, starvation, and QoS degradation. The effect of different cluster voltage and frequency levels on fairness is another issue neglected by previous task scheduling algorithms. The present study investigates both the fairness problem and energy efficiency in HMPs. This paper proposes a heterogeneous fairness-aware energy efficient framework (HFEE) that employs DVFS to meet fairness constraints and provide energy efficient scheduling. The proposed framework is implemented and evaluated on a real heterogeneous multi-core processor. The experimental results indicate that the introduced technique can significantly improve energy efficiency and fairness when compared to Linux standard scheduler and two energy efficient and fairness-aware schedulers.


, energy efficient scheduling, fair scheduling, heterogeneous multi-core, big.LITTLE architecture
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author = {Salami, Bagher and Noori, Hamid and Naghibzadeh, Mahmoud},
title = {Fairness-Aware Energy Efficient Scheduling on Heterogeneous Multi-Core Processors},
journal = {IEEE Transactions on Computers},
year = {2020},
volume = {70},
number = {1},
month = {January},
issn = {0018-9340},
pages = {72--82},
numpages = {10},
keywords = {energy efficient scheduling; fair scheduling; heterogeneous multi-core; big.LITTLE architecture},


%0 Journal Article
%T Fairness-Aware Energy Efficient Scheduling on Heterogeneous Multi-Core Processors
%A Salami, Bagher
%A Noori, Hamid
%A Naghibzadeh, Mahmoud
%J IEEE Transactions on Computers
%@ 0018-9340
%D 2020