Wavelet-enabled Massive Data Compress Algorithm
This paper focuses on the issues on massive data compress such as massive data storage, complexity and variability in information processing system (IPS). In order to tackle these issues, this paper proposes an algorithm using multi-decomposition wavelet change for massive data compress (MDC). This algorithm concentrates on the multidecomposition of data flow, vacuum, and parameters to form a data flow according to the date firstly. Secondly, multireversion methodology is used to convert the massive data flow. Finally, an experiment is executed to test this algorithm. The experiments illustrates that this algorithm using wavelet can achieve excellent compress efficiency and time cost while data searching under limited vacuum.
massive data compress algorithm wavelet
C.H.Liu X.Hu
School of Mechanical and Electric Engineering Guangzhou University Guangzhou, China
国际会议
太原
英文
515-517
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）