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Semantic-aware hot data selection policy for flash file system in android-based smartphones

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Flash memory has different characteristics from traditional hard disk drives. Therefore, the traditional file systems such as EXT4 are not well-optimized for flash memory storage. Recently, a flash memory-aware file system, called F2FS, is announced, which is based on the log-structured file system considering the poor random write performance of flash memory. Although F2FS uses a heuristic for separating hot and cold data, the heuristic is not aware of file type. In this paper, we observe the lifetime of different types of files in Android platform and propose a semantic-aware hot data selection policy for F2FS. Experimental results show that the proposed technique reduces the garbage collection cost by up to 31%.

Original languageEnglish
Title of host publicationProceedings - 2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013
PublisherIEEE Computer Society
Pages444-445
Number of pages2
ISBN (Print)9781479920815
DOIs
StatePublished - 2013
Event2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013 - Seoul, Korea, Republic of
Duration: 15 Dec 201318 Dec 2013

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
ISSN (Print)1521-9097

Conference

Conference2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period15/12/1318/12/13

Keywords

  • Android System
  • Flash Memory
  • Garbage Collection
  • Hot-Cold Data Separation
  • Log-Structured File System
  • Mobile Platform

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