Proceedings of the 15th Workshop on Mobile Computing Systems and Applications最新文献

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No "one-size fits all": towards a principled approach for incentives in mobile crowdsourcing 没有“一刀切”的方法:在移动众包中采取原则性的激励方法
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications Pub Date : 2014-02-26 DOI: 10.1145/2565585.2565603
John P. Rula, Vishnu Navda, F. Bustamante, Ranjita Bhagwan, S. Guha
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引用次数: 43
Reducing energy consumption of smartphones using user-perceived response time analysis 利用用户感知的响应时间分析减少智能手机的能耗
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications Pub Date : 2014-02-26 DOI: 10.1145/2565585.2565595
Wook Song, Nosub Sung, Byung-Gon Chun, Jihong Kim
{"title":"Reducing energy consumption of smartphones using user-perceived response time analysis","authors":"Wook Song, Nosub Sung, Byung-Gon Chun, Jihong Kim","doi":"10.1145/2565585.2565595","DOIUrl":"https://doi.org/10.1145/2565585.2565595","url":null,"abstract":"We propose a novel power optimization framework based on user-perceived response time analysis. Unlike most existing power optimization approaches, our framework takes explicit account of the quality of user experience into applying low-power techniques. We divide an execution of a given user-interactive session into two intervals, one where the system response time directly affects user experience and the other where the system response time does not affect user experience. For the user-oblivious response time interval, our framework allows more aggressive applications of low-power techniques for a higher energy efficiency. In order to identify the user-perceived response time of smartphone applications during run time, we developed an on-line user-perceived response time analyzer (ura) for Android-based smartphones. Based on the analysis result of ura, our proposed power optimization framework employs more aggressive low-power techniques in the user-oblivious interval. Our experimental results on a smartphone development board show that the proposed technique can reduce the CPU energy consumption by up to 65.6% over the Android's default ondemand cpufreq governor.","PeriodicalId":360291,"journal":{"name":"Proceedings of the 15th Workshop on Mobile Computing Systems and Applications","volume":"33 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128732370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 38
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications 第十五届移动计算系统与应用研讨会论文集
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引用次数: 0
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