A Preliminary Study of the Energy Impact of Software in Raspberry Pi devices - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

A Preliminary Study of the Energy Impact of Software in Raspberry Pi devices

Résumé

Nowadays, the use of IoT devices is essential in most sectors along with a rising concern regarding their energy consumption. Therefore, an accurate estimation of the energy consumption of such devices is required for energy-efficient improvements. This paper presents Energy Measurement Model (EMM), an energy estimation tool for Raspberry Pi 3 Model B+. It is a software-based model used to estimate the local energy consumption of a device by taking into consideration CPU utilization. The error rate of our model averages at 1.25%. Using this model, we study the energy impact of a set of algorithms, programming languages and compilers.
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Dates et versions

hal-02936861 , version 1 (15-11-2020)

Identifiants

  • HAL Id : hal-02936861 , version 1

Citer

Kamar Kesrouani, Houssam Kanso, Adel Noureddine. A Preliminary Study of the Energy Impact of Software in Raspberry Pi devices. 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2020, Bayonne, France. ⟨hal-02936861⟩

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