compression techniquesdata storage reductiondatabase compressiondatabase performancereversible data compression
Figures from the paper
Abstract (AI)
Despite the fact that computer memory costs have decreased dramatically over the past few years, data storage still remains, and will probably always remain, an important cost factor for many large scale database applications. Compressing data in a database system is attractive for two reasons: data storage reduction and performance improvement. Storage reduction is a direct and obvious benefit, while performance improves because smaller amounts of physical data need to be moved for any particular operation on the database. We address several aspects of reversible data compression and compression techniques: general concepts of data compression; a number of compression techniques; a comparison of the effects of compression on common data types; advantages and disadvantages of compressing data; and future research needs.
Key Findings
1
Compression effects vary across common data types, requiring comparative evaluation of technique-specific advantages and disadvantages.
2
Database compression remains important because storage continues to be a significant cost in large-scale database applications.
3
Reversible compression provides two primary benefits: reducing data-storage requirements and improving performance by minimizing physical data movement.
4
The paper examines general compression concepts and multiple reversible compression techniques for database systems.
5
The paper identifies future research needs in database data compression.
Research Object
data in large-scale database applications
Research Subject
reversible data compression techniques and their effects on storage requirements and database performance
Publication Details
Publication Date
1993-09-01
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest