Research on Data Compression Algorithm of Heating Data Center Based on Adaptive Swinging Door Trending
Xiwen Liu, Ruicai Si · 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) · 2019
The 21st century is the century full of information. The data compression is an indispensable key technology in the information society. We use adaptive swinging door trending in the historical data compression of the heating data center. The experimental results show that the algorithm can compress the historical data faster, obtain a higher compression ratio, and ensure that the decompressed data has higher accuracy.