research-article

QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms

Authors:

Andre P. Ortega,

Amit Kumar Singh,

Bashir M. Al-Hashimi,

Geoff V. MerrettAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 21, Issue 4

Article No.: 38, Pages 1 - 29

https://doi.org/10.1145/3526116

Published: 05 September 2022 Publication History

Abstract

Heterogeneous multi-processor system-on-chip (MPSoC) smartphones are required to offer increasing performance and user quality-of-experience (QoE), despite comparatively slow advances in battery technology. Approaches to balance instantaneous power consumption, performance and QoE have been reported, but little research has considered how to perform longer-term budgeting of resources across a complete battery discharge cycle. Approaches that have considered this are oblivious to the daily variability in the user’s desired charging time-of-day (plug-in time), resulting in a failure to meet the user’s battery life expectations, or else an unnecessarily over-constrained QoE. This paper proposes QUAREM, an adaptive resource management approach in mobile MPSoC platforms that maximises QoE while meeting battery life expectations. The proposed approach utilises a model that learns and then predicts the dynamics of the energy usage pattern and plug-in times. Unlike state-of-the-art approaches, we maximise the QoE through the adaptive balancing of the battery life and the quality of service (QoS) for the duration of the battery discharge. Our model achieves a good degree of accuracy with a mean absolute percentage error of 3.47% and 2.48% for the energy demand and plug-in times, respectively. Experimental evaluation on an off-the-shelf commercial smartphone shows that QUAREM achieves the expected battery life of the user within 20–25% energy demand variation with little or no QoE degradation.

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https://dl.acm.org/doi/10.1016/j.sysarc.2023.103023
Taktak WEscheikh MBarkaoui K(2024)DRL approach for online user-centric QoS-Aware SFC embedding with dynamic VNF placementComputer Networks10.1016/j.comnet.2024.110637251(110637)Online publication date: Sep-2024
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Lu YHu CGong YCheng D(2024)Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile DevicesAdvanced Intelligent Computing Technology and Applications10.1007/978-981-97-5581-3_31(383-395)Online publication date: 5-Aug-2024
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Index Terms

QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
      1. Embedded software
    2. System on a chip

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cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 21, Issue 4

July 2022

330 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/3551651

Editor:
Tulika Mitra
National University of Singapore, Singapore

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Publication History

Published: 05 September 2022

Online AM: 21 March 2022

Accepted: 01 March 2022

Revised: 01 March 2022

Received: 01 August 2021

Published in TECS Volume 21, Issue 4

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Cited By

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https://dl.acm.org/doi/10.1016/j.sysarc.2023.103023
Taktak WEscheikh MBarkaoui K(2024)DRL approach for online user-centric QoS-Aware SFC embedding with dynamic VNF placementComputer Networks10.1016/j.comnet.2024.110637251(110637)Online publication date: Sep-2024
https://doi.org/10.1016/j.comnet.2024.110637
Lu YHu CGong YCheng D(2024)Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile DevicesAdvanced Intelligent Computing Technology and Applications10.1007/978-981-97-5581-3_31(383-395)Online publication date: 5-Aug-2024
https://dl.acm.org/doi/10.1007/978-981-97-5581-3_31
Isuwa SAmos DSingh AAl-Hashimi BMerrett G(2023)Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE56975.2023.10136915(1-2)Online publication date: Apr-2023
https://doi.org/10.23919/DATE56975.2023.10136915
Lee YChiou HShiau SPan CTing S(2023)Phone‐nomenon 2.0: A compact thermal model for smartphonesIET Computers & Digital Techniques10.1049/cdt2.1205217:2(43-59)Online publication date: 8-Jan-2023
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Xu DOuyang YZhou WLiang H(2023)Improving power and performance of on-chip network through virtual channel sharing and power gatingIntegration, the VLSI Journal10.1016/j.vlsi.2023.10205993:COnline publication date: 1-Nov-2023
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Ranjbar BSingh ASahoo SDziurzanski PKumar A(2023)Power Management of Multicore SystemsHandbook of Computer Architecture10.1007/978-981-15-6401-7_55-1(1-33)Online publication date: 1-Apr-2023
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