M. Ferroni, A. Cazzola, D. Matteo, A. A. Nacci, D. Sciuto, M. Santambrogio
{"title":"MPower: gain back your android battery life!","authors":"M. Ferroni, A. Cazzola, D. Matteo, A. A. Nacci, D. Sciuto, M. Santambrogio","doi":"10.1145/2494091.2494147","DOIUrl":null,"url":null,"abstract":"Nowadays, mobile devices are becoming more flexible and rich in functionalities. As already presented in [6] those devices are highly influenced by constraints, mainly regarding power management. In fact, mobile batteries are limited in time and there are no efficient methods able to manage power consumption. Even knowing the device Time To Live (TTL) is currently left to the user experience. In this paper, we presented MPower, a system able to predict the mobile device TTL, providing also the user with suggestions on the optimal device configuration w.r.t. the desired TTL. This allows the user to manage the available power resources, according to his/her needs, avoiding power wasting.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2494091.2494147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Nowadays, mobile devices are becoming more flexible and rich in functionalities. As already presented in [6] those devices are highly influenced by constraints, mainly regarding power management. In fact, mobile batteries are limited in time and there are no efficient methods able to manage power consumption. Even knowing the device Time To Live (TTL) is currently left to the user experience. In this paper, we presented MPower, a system able to predict the mobile device TTL, providing also the user with suggestions on the optimal device configuration w.r.t. the desired TTL. This allows the user to manage the available power resources, according to his/her needs, avoiding power wasting.