Abstract
State Key Laboratory for GeoMechanics and Deep Underground Engineering (GDLab) has accumulated more than 500 TB data of rock burst experiment. But so far the amount of analyzed data is less than 5%. Data storage dilemma is restricting the study mechanism of rock burst. In this paper, we applied big data technology into analyze of rock burst, and makes deep analysis about characteristic of rock burst data. Basing on this, a big data based data storage systems (BDSS) for rock burst experiment was proposed. BDSS based on Hadoop for rock burst 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 2.91%, which is as good as WinRAR. And at the same time, considered time for compress data, Big Data Compressed Storage Algorithm is much better than WinRAR. In one word, Experimental analysis shows that the algorithm have excellent performance in rock burst and solve the Data storage dilemma. Research work of this paper laid some foundation of rock burst.
| Original language | English |
|---|---|
| Pages (from-to) | 111-122 |
| Number of pages | 12 |
| Journal | International Journal of Grid and Distributed Computing |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
Keywords
- Big data
- Compressed storage algorithm
- Rock burst