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_ | 1827988422666485760 |
---|---|
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 |