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Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles (ESEM'2020 Dataset)

Andreas Schuler; Gabriele Kotsis;

Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles (ESEM'2020 Dataset)

Abstract

Motivation This repository contains the data-set used as a basis for our ESEM'2020 paper Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles The dataset is comprised of 2 test scenarios: The first one is based on the paper from Rocha et al. (2019), the second one is based on the commonly known Google Gson library. Description of the dataset The dataset is stored in a file *.csv and contains the following data: id - an individual identifier name - the name of the library examined className - the class name as an abbreviation method - the name of the executed method duration - duration of method execution energyConsumption - computed energy consumption watts - recorded wattage uApi - the computed uAPI profile value Besides the data, this repository also contains the result images from the ESEM'2020 paper in pdf-file format. Android I/O Experiment For the Android I/O Experiment we examined the correlation between API utilization and energy consumption. For the dataset, we took inspiration from Rocha et al. (2019). The dataset uses abbreviations for the examined classes which are further described in the readme.md file Filename: io_test_052020.csv Google Gson Experiment The Google Gson dataset contains recordings for Google Gson version 2.8.5. Again, the dataset was used as a foundation for examining the correlation between the computed API profiles and energy consumption. Filename: gson_test_052020.csv License Creative Commons CC-BY

Keywords

energy consumption, software energy profiling, dynamic program analysis

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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