• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (04): 657-662.

• 论文 • 上一篇    下一篇

一种基于Hadoop的EPC物联网数据分析系统的研究与实现

赵会群,黄传聪   

  1. (北方工业大学计算机系,北京100144)
  • 收稿日期:2014-09-10 修回日期:2014-11-16 出版日期:2015-04-25 发布日期:2015-04-25
  • 基金资助:

    国家自然科学基金资助项目(61070030,61370051);北京市教委人才创新团队计划资助项目(4062012)

Research and implementation of
a Hadoop-based EPC IOT data analysis system 

ZHAO Huiqun,HUANG Chuancong   

  1. (Department of Computer Science,North China University of Technology,Beijing 100144,China)
  • Received:2014-09-10 Revised:2014-11-16 Online:2015-04-25 Published:2015-04-25

摘要:

随着物流中心内部署的感知节点感知的EPC标签数据日益膨胀,并且由于单机容量以及计算能力的限制,使得传统数据处理方式已经不能很好地满足物流中心对于大数据处理的需求。为解决数据中心对内部历史数据进行高速有效处理的困境,在对Hadoop技术进行深入研究的基础上,提出了一种EPC物联网数据处理算法,并使用Hadoop技术进行实现。实验结果表明,在Hadoop平台中进行EPC数据处理,可以明显提高物流中心对历史数据的处理能力。

关键词: Hadoop;EPC;数据处理;物流中心

Abstract:

With the rapid growth of data which are sensed by the sensor nodes deployed in the logistics center, the current data processing methods cannot meet the demand of rapid and effective data analysis and processing. In order to improve the performance of current data processing, based on analysis of the Hadoop technique, we design a  novel EPC IOT data processing algorithm implemented by Hadoop. Experimental results show that the proposed algorithm can greatly improve the  processing capability of historical data of the logistics center when the EPC data are processed on the Hadoop-based system.

Key words: Hadoop;EPC;data processing;logistics center