GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing

Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei

研究成果: 著書/レポートタイプへの貢献会議での発言

1 引用 (Scopus)

抄録

Energy consumption is a concern in the data-center and at the edge, on mobile devices such as smartphones. Software that consumes too much energy threatens the utility of the end-user's mobile device. Energy consumption is fundamentally a systemic kind of performance and hence it should be addressed at design time via a software architecture that supports it, rather than after release, via some form of refactoring. Unfortunately developers often lack knowledge of what kinds of designs and architectures can help address software energy consumption. In this paper we show that some simple design choices can have significant effects on energy consumption. In particular we examine the Model-View-Controller architectural pattern and demonstrate how converting to Model-View-Presenter with bundling can improve the energy performance of both benchmark systems and real world applications. We show the relationship between energy consumption and bundled and delayed view updates: bundling events in the presenter can often reduce energy consumption by 30%.

元の言語英語
ホスト出版物のタイトルProceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019
出版者IEEE Computer Society
ページ1107-1118
ページ数12
ISBN(電子版)9781728108698
DOI
出版物ステータス出版済み - 5 2019
イベント41st IEEE/ACM International Conference on Software Engineering, ICSE 2019 - Montreal, カナダ
継続期間: 5 25 20195 31 2019

出版物シリーズ

名前Proceedings - International Conference on Software Engineering
2019-May
ISSN(印刷物)0270-5257

会議

会議41st IEEE/ACM International Conference on Software Engineering, ICSE 2019
カナダ
Montreal
期間5/25/195/31/19

Fingerprint

Energy utilization
Processing
Mobile devices
Smartphones
Software architecture
Controllers

All Science Journal Classification (ASJC) codes

  • Software

これを引用

Chowdhury, S. A., Hindle, A., Kazman, R., Shuto, T., Matsui, K., & Kamei, Y. (2019). GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing. : Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019 (pp. 1107-1118). [8811956] (Proceedings - International Conference on Software Engineering; 巻数 2019-May). IEEE Computer Society. https://doi.org/10.1109/ICSE.2019.00114

GreenBundle : An Empirical Study on the Energy Impact of Bundled Processing. / Chowdhury, Shaiful Alam; Hindle, Abram; Kazman, Rick; Shuto, Takumi; Matsui, Ken; Kamei, Yasutaka.

Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019. IEEE Computer Society, 2019. p. 1107-1118 8811956 (Proceedings - International Conference on Software Engineering; 巻 2019-May).

研究成果: 著書/レポートタイプへの貢献会議での発言

Chowdhury, SA, Hindle, A, Kazman, R, Shuto, T, Matsui, K & Kamei, Y 2019, GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing. : Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019., 8811956, Proceedings - International Conference on Software Engineering, 巻. 2019-May, IEEE Computer Society, pp. 1107-1118, 41st IEEE/ACM International Conference on Software Engineering, ICSE 2019, Montreal, カナダ, 5/25/19. https://doi.org/10.1109/ICSE.2019.00114
Chowdhury SA, Hindle A, Kazman R, Shuto T, Matsui K, Kamei Y. GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing. : Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019. IEEE Computer Society. 2019. p. 1107-1118. 8811956. (Proceedings - International Conference on Software Engineering). https://doi.org/10.1109/ICSE.2019.00114
Chowdhury, Shaiful Alam ; Hindle, Abram ; Kazman, Rick ; Shuto, Takumi ; Matsui, Ken ; Kamei, Yasutaka. / GreenBundle : An Empirical Study on the Energy Impact of Bundled Processing. Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019. IEEE Computer Society, 2019. pp. 1107-1118 (Proceedings - International Conference on Software Engineering).
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