{"title":"Androtrace:用于在Android上跟踪和分析IOs的框架","authors":"Eunryoung Lim, Seongjin Lee, Y. Won","doi":"10.1145/2819001.2819007","DOIUrl":null,"url":null,"abstract":"In this work, we develop IO trace and analysis framework, Androtrace, which is specifically tailored for Android platform. Unlike earlier works that required prolonged post processing procedures, Androtrace not only traces with low overhead, but also provides efficient solution for storage with--in mobile devices. Captured IO trace is temporarily stored in main memory and storage device, and they are transferred to Androtrace server when the device is connected to WiFi. We use server and client model to support and analyze multiple Android users. Using the framework, we find that write IOs are dominant in mobile workload.","PeriodicalId":293142,"journal":{"name":"INFLOW '15","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Androtrace: framework for tracing and analyzing IOs on Android\",\"authors\":\"Eunryoung Lim, Seongjin Lee, Y. Won\",\"doi\":\"10.1145/2819001.2819007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we develop IO trace and analysis framework, Androtrace, which is specifically tailored for Android platform. Unlike earlier works that required prolonged post processing procedures, Androtrace not only traces with low overhead, but also provides efficient solution for storage with--in mobile devices. Captured IO trace is temporarily stored in main memory and storage device, and they are transferred to Androtrace server when the device is connected to WiFi. We use server and client model to support and analyze multiple Android users. Using the framework, we find that write IOs are dominant in mobile workload.\",\"PeriodicalId\":293142,\"journal\":{\"name\":\"INFLOW '15\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INFLOW '15\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2819001.2819007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INFLOW '15","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2819001.2819007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Androtrace: framework for tracing and analyzing IOs on Android
In this work, we develop IO trace and analysis framework, Androtrace, which is specifically tailored for Android platform. Unlike earlier works that required prolonged post processing procedures, Androtrace not only traces with low overhead, but also provides efficient solution for storage with--in mobile devices. Captured IO trace is temporarily stored in main memory and storage device, and they are transferred to Androtrace server when the device is connected to WiFi. We use server and client model to support and analyze multiple Android users. Using the framework, we find that write IOs are dominant in mobile workload.
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