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Fragmentation-Less FAT-compatible File System for Internet of Things

Authors:

Haecheon Kim,

Dongwoo Kang,

Kwanghee Lee,

Jongmoo ChoiAuthors Info & Claims

IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

Article No.: 61, Pages 1 - 5

https://doi.org/10.1145/3164541.3164554

Published: 05 January 2018 Publication History

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Abstract

In this paper, we propose a new file system, called FL-FAT, for IoT (Internet of Things) devices. By considering the data manipulating characteristics in IoT devices, FL-FAT employs two techniques, partitioning and pre-allocation so that it can reduce internal fragmentation. Also, it devises a novel space reclaiming technique that frees the unused pre-allocated space while supporting FAT-compatibility. We have implemented FL-FAT in the Android platform on ARM-based experimental board. Performance evaluation results show that our file system can eliminate fragmentation, which enables to improve performance by up to 22%.

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Ahmad HHoloday CBertram IAngstadt KSharafi ZWeimer WMcIntosh SShang WPerez G(2022)LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recoveryProceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/3558489.3559071(52-61)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3558489.3559071

Index Terms

Fragmentation-Less FAT-compatible File System for Internet of Things
1. Information systems
  1. Information storage systems
    1. Storage management
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        File systems management
        Memory management
        Allocation / deallocation strategies
        Secondary storage

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Published In

IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

January 2018

628 pages

ISBN:9781450363853

DOI:10.1145/3164541

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SKKU: SUNGKYUNKWAN UNIVERSITY

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Association for Computing Machinery

New York, NY, United States

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Published: 05 January 2018

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IMCOM '18

IMCOM '18: The 12th International Conference on Ubiquitous Information Management and Communication

January 5 - 7, 2018

Langkawi, Malaysia

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IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;

Overall Acceptance Rate 213 of 621 submissions, 34%

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Ahmad HHoloday CBertram IAngstadt KSharafi ZWeimer WMcIntosh SShang WPerez G(2022)LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recoveryProceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/3558489.3559071(52-61)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3558489.3559071

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File system performance and transaction support

File System Performance and Transaction Support

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