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Androtrace: Framework for tracing and analyzing IOs on android
- Authors
- Lim, Eunryoung; Lee, Seongjin; Won, Youjip
- Issue Date
- Oct-2015
- Publisher
- Association for Computing Machinery, Inc
- Keywords
- Android; Framework; IO analysis; IO trace utilities; Real-time; SQlite; Synchronous write
- Citation
- Proceedings - 3rd Workshop on Interactions of NVM/FLASH with Operating Systems and Workloads, INFLOW 2013; Co-located with: SOSP 2015 - 25th ACM Symposium on Operating Systems Principles
- Indexed
- SCOPUS
- Journal Title
- Proceedings - 3rd Workshop on Interactions of NVM/FLASH with Operating Systems and Workloads, INFLOW 2013; Co-located with: SOSP 2015 - 25th ACM Symposium on Operating Systems Principles
- 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. © 2015 ACM.
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