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dc.contributor.author Ji, Cheng ko
dc.contributor.author Chang, Li-Pin ko
dc.contributor.author Hahn, Sangwook Shane ko
dc.contributor.author Lee, Sungjin ko
dc.contributor.author Pan, Riwei ko
dc.contributor.author Shi, Liang ko
dc.contributor.author Kim, Jihong ko
dc.contributor.author Xue, Chun Jason ko
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.citation IEEE Transactions on Mobile Computing, v.18, no.9, pp.1 - 16 -
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-s2.0-85053298597 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.contributor.nonIdAuthor Ji, Cheng -
dc.contributor.nonIdAuthor Chang, Li-Pin -
dc.contributor.nonIdAuthor Hahn, Sangwook Shane -
dc.contributor.nonIdAuthor Pan, Riwei -
dc.contributor.nonIdAuthor Shi, Liang -
dc.contributor.nonIdAuthor Kim, Jihong -
dc.contributor.nonIdAuthor Xue, Chun Jason -
dc.identifier.citationVolume 18 -
dc.identifier.citationNumber 9 -
dc.identifier.citationStartPage 1 -
dc.identifier.citationEndPage 16 -
dc.identifier.citationTitle IEEE Transactions on Mobile Computing -
dc.type.journalArticle Article -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Measurements -
dc.subject.keywordAuthor flash memory -
dc.subject.keywordAuthor file fragmentation -
dc.subject.keywordAuthor I/O performance -
dc.contributor.affiliatedAuthor Lee, Sungjin -
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Department of Electrical Engineering and Computer Science Data-Intensive Computing Systems Laboratory 1. Journal Articles

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