A dataset from the daily use of features in Android devices

The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated by collecting data from features while using the Android operating system. This is a database generated using Tucandeira Data Collector from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,331,114 records related to dynamic, background, list of applications, and static data. Device records were collected daily from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository. The dataset formed an integral component of the SWPERFI RD&I Project, a research, development, and innovation initiative aimed at improving the performance and energy optimization of mobile devices. This project was undertaken at the Federal University of Amazonas.

通过特征采集获取的安卓（Android）设备能耗数据，是学术文献中反复探讨的研究主题。为评估此类设备的性能，研究人员通常在安卓系统运行过程中采集各类特征数据以构建数据库。本数据集依托Tucandeira数据采集工具（Tucandeira Data Collector），采集了用户在执行日常任务时使用智能手机和平板电脑产生的相关数据。本数据集共包含98项特征与10331114条记录，涵盖动态数据、后台数据、应用列表数据与静态数据四类。研究人员从10台不同设备中每日采集设备运行数据，先存储为CSV文件，后续通过数据清洗与预处理完成数据整合并构建数据库，相关公开数据集已上传至Mendeley数据集仓库（Mendeley Data Repository）。本数据集是SWPERFI研发创新项目（SWPERFI RD&I Project）的核心组成部分，该项目是一项旨在提升移动设备性能与能耗优化水平的研究、开发与创新计划。本项目由亚马孙联邦大学（Federal University of Amazonas）负责实施。

搜集汇总

背景与挑战

背景概述

该数据集包含Android设备日常使用中的98个特征和超过1000万条记录，涵盖动态、背景、应用程序列表和静态数据，用于研究和优化移动设备的性能与能耗。