All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.


Economic effect of big data compressed storage technology in Rock burst experiment

Author(s): Yan-ping Bai, Yu Zhang

State Key Laboratory for GeoMechanics and Deep Underground Engineering (GDLab) has accumulated more than 500 TB data of Rockburst experiment. But so far the amount of analysed data is less than 5% in GDLab. Data storage dilemma is restricting the study mechanism of Rockburst. In this paper, we applied big data technology into analyse of Rockburst, and makes deep analysis about characteristic of Rockburst data. Basing on this, a big data based data storage systems (BDSS) for Rockburst experiment was proposed. BDSS based on Hadoop for Rockburst with online data loading and rapid retrieval of data. In Storage node machine cluster in BDSS, Big Data Compressed Storage Algorithm was proposed. The algorithm can provide average compressed ratio about 3.26%. Experimental analysis shows that the algorithm has excellent performance in Rockburst and solves the Data storage dilemma. Research work of this paper laid some foundation of Rockburst.

Share this       

Table of Contents

Recommended Conferences

International Congress on Biotechnology

Tokyo, Japan

24th Global Congress on Biotechnology

Dubai, UAE
izmir escort izmir escort bursa escort antalya escort izmir escort porno porno izle türk porno eskişehir escort bartın escort burdur escort havalandırma izmir escort bursa escort porno indir izle escort izmir