A novel file system supporting rich file classification

Article


Albadri, Nehad and Dekeyser, Stijn. 2022. "A novel file system supporting rich file classification." Computers and Electrical Engineering. 103, pp. 1-9. https://doi.org/10.1016/j.compeleceng.2022.108081
Article Title

A novel file system supporting rich file classification

ERA Journal ID4403
Article CategoryArticle
AuthorsAlbadri, Nehad (Author) and Dekeyser, Stijn (Author)
Journal TitleComputers and Electrical Engineering
Journal Citation103, pp. 1-9
Article Number108081
Number of Pages9
Year2022
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN0045-7906
Digital Object Identifier (DOI)https://doi.org/10.1016/j.compeleceng.2022.108081
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0045790622003366
Abstract

Existing implementations of file systems often seem to be made on an ad hoc and implicit basis. This paper aims to enhance the organization of files and retrieval of files by modifying the traditional hierarchical file system to improve built-in query support and bulk metadata updates supported at the file system level. We introduce tags in a hierarchy of file collections and use links to allow file retrieval from multiple paths as files exist in multiple directories simultaneously. By using a series of modest changes to the hierarchical file system, we propose a novel Linked Tree Tags (LTTs) model. These changes include using multiple tags instead of names, collections instead of directories, exposing a query language at the Application Programming Interface (API) level, and allowing controlled file links. We assess our model's expressive capability and demonstrate that LTTs overcome traditional file systems' limits and provide users with the to manage their files easily.

KeywordsFile system, Classification, Hierarchical file system, Metadata capabilities, Linked tree tags
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460503. Data models, storage and indexing
460912. Knowledge and information management
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsUniversity of Southern Queensland
Institution of OriginUniversity of Southern Queensland
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https://research.usq.edu.au/item/q7v19/a-novel-file-system-supporting-rich-file-classification

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