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EnglishThe number of Single Board Computers (SBCs) is increasing, and so is the cumulative energy consumed by this category of device. Moreover, such devices are often always-on or running on batteries. Therefore, it is worth investigating their energy consumption to provide software developers and users with indicators for understanding how much energy the device is consuming while running a software application. In this paper, we explain a procedure for the creation of an energy consumption model of SBCs based on the usage of its components. We apply the procedure on a Raspberry PI 2 model B to test the model with a set of real applications. The results demonstrate the practical feasibility of the approach and show that estimated consumption values on our device have an average error of 2.2%, which is a good approximation without using external and expensive measuring devices.
Creating and Evaluating a Software Power Model for Linux Single Board Computers / Ardito, L.; Torchiano, M.. - ELETTRONICO. - (2018), pp. 1-8. ((Intervento presentato al convegno 2018 ACM/IEEE 6th International Workshop on Green And Sustainable Software tenutosi a Gothenburg, Sweden nel 27 May 2018.
| Titolo: | Creating and Evaluating a Software Power Model for Linux Single Board Computers |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Abstract: | The number of Single Board Computers (SBCs) is increasing, and so is the cumulative energy consum...ed by this category of device. Moreover, such devices are often always-on or running on batteries. Therefore, it is worth investigating their energy consumption to provide software developers and users with indicators for understanding how much energy the device is consuming while running a software application. In this paper, we explain a procedure for the creation of an energy consumption model of SBCs based on the usage of its components. We apply the procedure on a Raspberry PI 2 model B to test the model with a set of real applications. The results demonstrate the practical feasibility of the approach and show that estimated consumption values on our device have an average error of 2.2%, which is a good approximation without using external and expensive measuring devices. |
| ISBN: | 978-1-4503-5638-1 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| greens-pre.pdf | 1. Preprint / Submitted Version | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2708872
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