Data Extraction Using Preprocessing Compression Based on LZW to Improve DB Performance

Author

Tanguilig, B.T. ; Sison, Ariel M. ; Gerardo, Bobby D. ; Byun, Yung-Cheol

Author_Institution

Coll. of Inf. Technol. Educ., Technol. Inst. of the Philippines, Quezon City, Philippines

fYear

2011

fDate

10-12 Aug. 2011

Firstpage

64

Lastpage

67

Abstract

The Lempel-Ziv-Welch (LZW) algorithm has provided attractive data compression for storage medium with limited space. This study is motivated to improve database performance by compressing some of its attributes using LZW compression algorithm. Simulation results show that LZW is useful for practical purposes. Data compression will speed up data transmittal since the amount of memory needed is reduced including the amount of data to be stored. Data compression provides additional level of data integrity and reliability.

Keywords

data compression; data integrity; database management systems; storage management; DB performance; LZW algorithm; LZW compression algorithm; Lempel-Ziv-Welch algorithm; data compression; data extraction; data integrity; data reliability; data transmittal; database performance; limited space; preprocessing compression; storage medium; Algorithm design and analysis; Data compression; Data mining; Data models; Dictionaries; Indexes; Data Compression; Data Mining; Database; Dictionary; LZW Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering Research, Management and Applications (SERA), 2011 9th International Conference on

Conference_Location

Baltimore, MD

Print_ISBN

978-1-4577-1028-5

Type

conf

DOI

10.1109/SERA.2011.28

Filename

6065620