TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Implementing data compression techniques in database systems to enhance storage optimization

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pp. 1815–1823Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2273XML
Received:
01 Apr 2025
Published Online:
23 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2273
Pages:
1815–1823

Abstract

The huge amount of digital data that is being created every second has made it hard for computer systems to store, run, and keep up with. Using perfect compression methods is a good way to get the most out of your resources while keeping the purity of your data.  This research looks at how Huffman coding, LZW, and Run-Length Encoding can be used together in database storage systems.  Formulations, theories, and arguments in mathematics set limits on performance and measure how efficient something is.  Experiments show that this method saves a lot of space and makes queries faster, especially for bigger datasets. Findings show that systems that can compress data make them scalable, cost-effective, and long-lasting. 

Keywords

Subject Classifications

55N3168M25

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