Research on application of Hadoop in personnel positioning software system
In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce and non-relational database HBase were used to r...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2017-01-01
|
| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.01.016 |
| _version_ | 1797868852697104384 |
|---|---|
| author | WANG Wei |
| author_facet | WANG Wei |
| author_sort | WANG Wei |
| collection | DOAJ |
| description | In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce and non-relational database HBase were used to realize parallel access of personnel positioning data. The application of Hadoop can significantly improve data processing performance, real-time performance and scalability of personnel positioning software system. |
| first_indexed | 2024-04-10T00:03:25Z |
| format | Article |
| id | doaj.art-8051eac11e044254bbb3752eccb8dc78 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:03:25Z |
| publishDate | 2017-01-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-8051eac11e044254bbb3752eccb8dc782023-03-17T01:41:43ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2017-01-01431666810.13272/j.issn.1671-251x.2017.01.016Research on application of Hadoop in personnel positioning software systemWANG WeiIn order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce and non-relational database HBase were used to realize parallel access of personnel positioning data. The application of Hadoop can significantly improve data processing performance, real-time performance and scalability of personnel positioning software system.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.01.016personnel positioninghadoopprecise positioningsds-twrmapreducehbase |
| spellingShingle | WANG Wei Research on application of Hadoop in personnel positioning software system Gong-kuang zidonghua personnel positioning hadoop precise positioning sds-twr mapreduce hbase |
| title | Research on application of Hadoop in personnel positioning software system |
| title_full | Research on application of Hadoop in personnel positioning software system |
| title_fullStr | Research on application of Hadoop in personnel positioning software system |
| title_full_unstemmed | Research on application of Hadoop in personnel positioning software system |
| title_short | Research on application of Hadoop in personnel positioning software system |
| title_sort | research on application of hadoop in personnel positioning software system |
| topic | personnel positioning hadoop precise positioning sds-twr mapreduce hbase |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.01.016 |
| work_keys_str_mv | AT wangwei researchonapplicationofhadoopinpersonnelpositioningsoftwaresystem |