research-article

Profiling energy profilers

Authors:

Jan Martijn E. M. van der Werf,

Slinger Jansen,

Miguel Ferreira,

Joost VisserAuthors Info & Claims

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

Pages 2198 - 2203

https://doi.org/10.1145/2695664.2695825

Published: 13 April 2015 Publication History

Abstract

While energy is directly consumed by hardware, it is the software that provides the instructions to do so. Energy profilers provide a means to measure the energy consumption of software, enabling the user to take measures in making software more sustainable. Although each energy profiler has access to roughly the same data, the reported measurements can differ significantly between energy profilers. In this research, energy profilers are evaluated through a series of experiments on their functionality and the accuracy of the reported measurements. The results show that there is still work to be done before these software tools can be safely used for their intended purpose. As a start, a correction factor is suggested for the energy profilers.

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Cited By

Centofanti CSantos JGudepu VKondepu K(2024)Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement toolsComputer Networks10.1016/j.comnet.2024.110371245(110371)Online publication date: May-2024
https://doi.org/10.1016/j.comnet.2024.110371
Siffre LBreuil GNoureddine APawlak R(2024)Demeter: An Architecture for Long-Term Monitoring of Software Power ConsumptionSoftware Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium10.1007/978-3-031-66326-0_25(409-425)Online publication date: 30-Jul-2024
https://doi.org/10.1007/978-3-031-66326-0_25
Xiao YXiao LWan KYang HZhang YWu YZhang Y(2023)Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge ComputingIEEE Transactions on Communications10.1109/TCOMM.2022.322903371:2(864-876)Online publication date: Feb-2023
https://doi.org/10.1109/TCOMM.2022.3229033
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Index Terms

Profiling energy profilers

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cover image ACM Conferences

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

April 2015

2418 pages

ISBN:9781450331968

DOI:10.1145/2695664

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Juan Manuel Corchado
University of Salamanca, Spain
,
Program Chairs:
Alessio Bechini
University of Pisa, Italy
,
Jiman Hong
Soongsil University, South Korea

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2015

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SAC 2015

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SAC 2015: Symposium on Applied Computing

April 13 - 17, 2015

Salamanca, Spain

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SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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The 40th ACM/SIGAPP Symposium on Applied Computing

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Cited By

Centofanti CSantos JGudepu VKondepu K(2024)Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement toolsComputer Networks10.1016/j.comnet.2024.110371245(110371)Online publication date: May-2024
https://doi.org/10.1016/j.comnet.2024.110371
Siffre LBreuil GNoureddine APawlak R(2024)Demeter: An Architecture for Long-Term Monitoring of Software Power ConsumptionSoftware Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium10.1007/978-3-031-66326-0_25(409-425)Online publication date: 30-Jul-2024
https://doi.org/10.1007/978-3-031-66326-0_25
Xiao YXiao LWan KYang HZhang YWu YZhang Y(2023)Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge ComputingIEEE Transactions on Communications10.1109/TCOMM.2022.322903371:2(864-876)Online publication date: Feb-2023
https://doi.org/10.1109/TCOMM.2022.3229033
Ghaleb T(2019)Software Energy Measurement at Different Levels of Granularity2019 International Conference on Computer and Information Sciences (ICCIS)10.1109/ICCISci.2019.8716456(1-6)Online publication date: Apr-2019
https://doi.org/10.1109/ICCISci.2019.8716456
Suherman SSani AHutagalung M(2019)Comparing web and mobile based power consumptions of Whatsapp applicationsJournal of Physics: Conference Series10.1088/1742-6596/1175/1/0121231175(012123)Online publication date: 7-Jun-2019
https://doi.org/10.1088/1742-6596/1175/1/012123
Mancebo JGuldner AKern EKesseler PKreten SGarcia FCalero CNaumann S(2019)Assessing the Sustainability of Software Products—A Method ComparisonAdvances and New Trends in Environmental Informatics10.1007/978-3-030-30862-9_1(1-15)Online publication date: 31-Oct-2019
https://doi.org/10.1007/978-3-030-30862-9_1
Mancebo JArriaga HGarcía FMoraga Mde Guzmán ICalero CMalavolta IKazman RSaraiva J(2018)EETProceedings of the 6th International Workshop on Green and Sustainable Software10.1145/3194078.3194081(16-22)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3194078.3194081
de Wildt TChappin Evan de Kaa GHerder P(2018)A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplinesApplied Energy10.1016/j.apenergy.2018.06.082228(2111-2128)Online publication date: Oct-2018
https://doi.org/10.1016/j.apenergy.2018.06.082
Jagroep EBroekman Jvan der Werf JBrinkkemper SLago PBlom Lvan Vliet RFerrario MPernici B(2017)Awakening awareness on energy consumption in software engineeringProceedings of the 39th International Conference on Software Engineering: Software Engineering in Society Track10.1109/ICSE-SEIS.2017.10(76-85)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICSE-SEIS.2017.10
Jagroep EWerf JBrinkkemper SBlom LVliet R(2017)Extending software architecture views with an energy consumption perspectiveComputing10.1007/s00607-016-0502-099:6(553-573)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s00607-016-0502-0
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