Chengke Wang, Yao Guo, Yunnan Xu, Peng Shen, Xiangqun Chen
{"title":"Standby Energy Analysis and Optimization for Smartphones","authors":"Chengke Wang, Yao Guo, Yunnan Xu, Peng Shen, Xiangqun Chen","doi":"10.1109/MobileCloud.2016.14","DOIUrl":null,"url":null,"abstract":"As smartphones become more and more powerful and complex, many research works have focused on the analysis and optimization of smartphone energy consumption. Most works are focused on the cases when smartphones are actively used. However, one major issue with smartphones is that the standby time has become much shorter compared with traditional feature phones. Many users have to recharge their phones everyday even though they are not using the phones very often. In order to understand what happens with smartphone battery while the phone is not in use, we combine current measurements with user trace analysis to reveal how smartphones consume energy in the standby mode. We have identified several factors that cause energy wastes in the standby mode. Then we propose a series of optimization methods to demonstrate the potential of energy reduction on smartphone standby energy. Results based on user traces show that we can extend the standby time by as much as 87% with the proposed optimizations.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobileCloud.2016.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
As smartphones become more and more powerful and complex, many research works have focused on the analysis and optimization of smartphone energy consumption. Most works are focused on the cases when smartphones are actively used. However, one major issue with smartphones is that the standby time has become much shorter compared with traditional feature phones. Many users have to recharge their phones everyday even though they are not using the phones very often. In order to understand what happens with smartphone battery while the phone is not in use, we combine current measurements with user trace analysis to reveal how smartphones consume energy in the standby mode. We have identified several factors that cause energy wastes in the standby mode. Then we propose a series of optimization methods to demonstrate the potential of energy reduction on smartphone standby energy. Results based on user traces show that we can extend the standby time by as much as 87% with the proposed optimizations.