Title :
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
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;
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
DOI :
10.1109/SERA.2011.28
