A. Corna, Andrea Damiani, M. Ferroni, A. A. Nacci, D. Sciuto, M. Santambrogio
{"title":"OpenMPower: An Open and Accessible Database About Real World Mobile Devices","authors":"A. Corna, Andrea Damiani, M. Ferroni, A. A. Nacci, D. Sciuto, M. Santambrogio","doi":"10.1109/EUC.2015.16","DOIUrl":null,"url":null,"abstract":"In the last decade we have witnessed the birth and dramatic growth of mobile devices, from cellular-to smart-phones. Despite the huge amount of information achievable from an always-connected reality, researchers that work in the mobile devices field fight against the impossibility to explore, inspect and test their work on such a vast set of possible environments, use case scenarios, hardware and software platforms the smart mobile world is composed of. This pushed the need of a wide open dataset of real world data coming from devices in their real usage context, properly anonymized and conveniently organized to be searchable and accessible. In this paper, we present a platform that brings such a dataset to researchers of the next generation of mobile devices.","PeriodicalId":299207,"journal":{"name":"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUC.2015.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In the last decade we have witnessed the birth and dramatic growth of mobile devices, from cellular-to smart-phones. Despite the huge amount of information achievable from an always-connected reality, researchers that work in the mobile devices field fight against the impossibility to explore, inspect and test their work on such a vast set of possible environments, use case scenarios, hardware and software platforms the smart mobile world is composed of. This pushed the need of a wide open dataset of real world data coming from devices in their real usage context, properly anonymized and conveniently organized to be searchable and accessible. In this paper, we present a platform that brings such a dataset to researchers of the next generation of mobile devices.