A Source-level Energy Optimization Framework for Mobile Applications

Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedings

Resumé

Energy efficiency can have a significant influence on user experience of mobile devices such as smartphones and tablets. Although energy is consumed by hardware, software optimization plays an important role in saving energy, and thus software developers have to participate in the optimization process. The source code is the interface between the developer and hardware resources. In this paper, we propose an energy optimization framework guided by a source code energy model that allows developers to be aware of energy usage induced by the code and to apply very targeted source-level refactoring strategies. The framework also lays a foundation for the code optimization by automatic tools. To the best of our knowledge, our work is the first that achieves this for a high-level language such as Java. In a case study, the experimental evaluation shows that our approach is able to save from 6.4% to 50.2% of the CPU energy consumption in various application scenarios.
Energy efficiency can have a significant influence on user experience of mobile devices such as smartphones and tablets. Although energy is consumed by hardware, software optimization plays an important role in saving energy, and thus software developers have to participate in the optimization process. The source code is the interface between the developer and hardware resources. In this paper, we propose an energy optimization framework guided by a source code energy model that allows developers to be aware of energy usage induced by the code and to apply very targeted source-level refactoring strategies. The framework also lays a foundation for the code optimization by automatic tools. To the best of our knowledge, our work is the first that achieves this for a high-level language such as Java. In a case study, the experimental evaluation shows that our approach is able to save from 6.4% to 50.2% of the CPU energy consumption in various application scenarios.
SprogEngelsk
Titel16th IEEE International Working Conference on Source Code Analysis and Manipulation : SCAM 2016
Antal sider10
ForlagIEEE Press
Dato2016
Sider31-40
ISBN (Elektronisk)978-1-5090-3848-0
DOI
StatusUdgivet - 2016
Begivenhed16th IEEE International Working Conference on Source Code Analysis and Manipulation - Raleigh, North Carolina, USA
Varighed: 2 okt. 20163 okt. 2016

Konference

Konference16th IEEE International Working Conference on Source Code Analysis and Manipulation
LandUSA
ByRaleigh, North Carolina
Periode02/10/201603/10/2016

Emneord

    Citer dette

    Li, X., & Gallagher, J. P. (2016). A Source-level Energy Optimization Framework for Mobile Applications. I 16th IEEE International Working Conference on Source Code Analysis and Manipulation: SCAM 2016 (s. 31-40). IEEE Press. DOI: 10.1109/SCAM.2016.12
    Li, Xueliang ; Gallagher, John Patrick. / A Source-level Energy Optimization Framework for Mobile Applications. 16th IEEE International Working Conference on Source Code Analysis and Manipulation: SCAM 2016. IEEE Press, 2016. s. 31-40
    @inproceedings{f09cb461117e4abf86534221e5569e7f,
    title = "A Source-level Energy Optimization Framework for Mobile Applications",
    abstract = "Energy efficiency can have a significant influence on user experience of mobile devices such as smartphones and tablets. Although energy is consumed by hardware, software optimization plays an important role in saving energy, and thus software developers have to participate in the optimization process. The source code is the interface between the developer and hardware resources. In this paper, we propose an energy optimization framework guided by a source code energy model that allows developers to be aware of energy usage induced by the code and to apply very targeted source-level refactoring strategies. The framework also lays a foundation for the code optimization by automatic tools. To the best of our knowledge, our work is the first that achieves this for a high-level language such as Java. In a case study, the experimental evaluation shows that our approach is able to save from 6.4\{%} to 50.2\{%} of the CPU energy consumption in various application scenarios.",
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    year = "2016",
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    booktitle = "16th IEEE International Working Conference on Source Code Analysis and Manipulation",
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    Li, X & Gallagher, JP 2016, A Source-level Energy Optimization Framework for Mobile Applications. i 16th IEEE International Working Conference on Source Code Analysis and Manipulation: SCAM 2016. IEEE Press, s. 31-40, Raleigh, North Carolina, USA, 02/10/2016. DOI: 10.1109/SCAM.2016.12

    A Source-level Energy Optimization Framework for Mobile Applications. / Li, Xueliang; Gallagher, John Patrick.

    16th IEEE International Working Conference on Source Code Analysis and Manipulation: SCAM 2016. IEEE Press, 2016. s. 31-40.

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedings

    TY - GEN

    T1 - A Source-level Energy Optimization Framework for Mobile Applications

    AU - Li,Xueliang

    AU - Gallagher,John Patrick

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    AB - Energy efficiency can have a significant influence on user experience of mobile devices such as smartphones and tablets. Although energy is consumed by hardware, software optimization plays an important role in saving energy, and thus software developers have to participate in the optimization process. The source code is the interface between the developer and hardware resources. In this paper, we propose an energy optimization framework guided by a source code energy model that allows developers to be aware of energy usage induced by the code and to apply very targeted source-level refactoring strategies. The framework also lays a foundation for the code optimization by automatic tools. To the best of our knowledge, our work is the first that achieves this for a high-level language such as Java. In a case study, the experimental evaluation shows that our approach is able to save from 6.4% to 50.2% of the CPU energy consumption in various application scenarios.

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    KW - Software development

    U2 - 10.1109/SCAM.2016.12

    DO - 10.1109/SCAM.2016.12

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    BT - 16th IEEE International Working Conference on Source Code Analysis and Manipulation

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    ER -

    Li X, Gallagher JP. A Source-level Energy Optimization Framework for Mobile Applications. I 16th IEEE International Working Conference on Source Code Analysis and Manipulation: SCAM 2016. IEEE Press. 2016. s. 31-40. Tilgængelig fra, DOI: 10.1109/SCAM.2016.12