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File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment
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dc.contributor.author Ji, Cheng -
dc.contributor.author Chang, Li-Pin -
dc.contributor.author Hahn, Sangwook Shane -
dc.contributor.author Lee, Sungjin -
dc.contributor.author Pan, Riwei -
dc.contributor.author Shi, Liang -
dc.contributor.author Kim, Jihong -
dc.contributor.author Xue, Chun Jason -
dc.date.accessioned 2018-10-11T02:02:34Z -
dc.date.available 2018-10-11T02:02:34Z -
dc.date.created 2018-10-04 -
dc.date.issued 2019-09 -
dc.identifier.issn 1536-1233 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/9326 -
dc.description.abstract 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 -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment -
dc.type Article -
dc.identifier.doi 10.1109/TMC.2018.2869737 -
dc.identifier.wosid 000480312500008 -
dc.identifier.scopusid 2-s2.0-85096032386 -
dc.identifier.bibliographicCitation Ji, Cheng. (2019-09). File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment. IEEE Transactions on Mobile Computing, 18(9), 1–16. doi: 10.1109/TMC.2018.2869737 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Measurements -
dc.subject.keywordAuthor flash memory -
dc.subject.keywordAuthor file fragmentation -
dc.subject.keywordAuthor I/O performance -
dc.citation.endPage 16 -
dc.citation.number 9 -
dc.citation.startPage 1 -
dc.citation.title IEEE Transactions on Mobile Computing -
dc.citation.volume 18 -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Computer Science; Telecommunications -
dc.relation.journalWebOfScienceCategory Computer Science, Information Systems; Telecommunications -
dc.type.docType Article -
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Lee, Sungjin이성진

Department of Electrical Engineering and Computer Science

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