Wavelet-enabled Massive Data Compress Algorithm
C.H. Liu, Xiao Guang Hu · 2010
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 multi-decomposition of data flow, vacuum, and parameters to form a data flow according to the date firstly. Secondly, multi-reversion 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.