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File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment

File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment
Ji, ChengChang, Li-PinHahn, Sangwook ShaneLee, SungjinPan, RiweiShi, LiangKim, JihongXue, Chun Jason
DGIST Authors
Lee, Sungjin
Issue Date
IEEE Transactions on Mobile Computing, 1-16
Article Type
Article in Press
AgingDatabasesHumanoid robotsI/O performanceMeasurementsSmart phonesAging of materialsAnthropomorphic robotsDatabase systemsFlash memoryMeasurementMobile computingSmartphonesUser interfacesAndroidsDe-fragmentationEmpirical studiesfile fragmentationHumanoid robotMobile applicationsState of the artThree-step approachFile organization
Mobile devices, such as smartphones, have become a necessity in our daily life. However, users may notice that after being used for a long time, mobile devices begin to experience sluggish response. Based on an empirical study on a set of aged mobile devices, we identified that file fragmentation is among the key factors that contribute to the progressive degradation of response time. This study takes a three-step approach: First, we designed a set of reproducible file-system aging processes based on User-Interface (UI) script replay. Through the aging processes, we confirmed that file fragmentation quickly emerged, and SQLite files were among the most severely fragmented files. Second, based on the workloads of a selection of popular mobile applications, we observed that file fragmentation did impact on user-perceived latencies. Specifically, the launching time of Chrome on an aged file system was 79\% slower than it was on a pristine file system. Third, we evaluated existing treatments of file fragmentation, including space preallocation, persistent journal space, and file defragmentation to understand their efficacies and limitations. We also evaluated a state-of-the-art copyless defragmenter, janusd, to show its advantage over the existing methods. IEEE
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Lee, Sungjin Data-Intensive Computing Systems Laboratory
  • Research Interests Computer System, System Software, Storage System, Non-volatile Memory, Flash-based SSD, Distributed Storage Systems
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Department of Information and Communication EngineeringData-Intensive Computing Systems Laboratory1. Journal Articles

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