Massive sensor data management framework in cloud manufacturing based on Hadoop

  • Yuan Bao*
  • , Lei Ren
  • , Lin Zhang
  • , Xuesong Zhang
  • , Yongliang Luo
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cloud Manufacturing provides a new concept and model for manufacturing informatization, which has become a hot research topic in modern networked manufacturing area. Cloud manufacturing systems generate huge amounts of sensor data from distributed manufacturing devices, and how to manage them efficiently becomes one of the main challenges of Cloud Manufacturing. Various software frameworks have been developed in Cloud Computing to handle massive data management, and the Hadoop framework has proved an effective solution. In this paper we introduce Hadoop to deal with the sensor data management in Cloud manufacturing systems. First we analyze the requirement of massive sensor data management in Cloud Manufacturing and the defects of traditional RDBMS (Relational Database Management System), and then present a framework supporting parallel storage and processing of massive sensor data in Cloud manufacturing systems based on Hadoop. This framework can provide a promising solution for massive sensor data management in Cloud Manufacturing.

Original languageEnglish
Title of host publicationINDIN 2012 - IEEE 10th International Conference on Industrial Informatics
Pages397-401
Number of pages5
DOIs
StatePublished - 2012
EventIEEE 10th International Conference on Industrial Informatics, INDIN 2012 - Beijing, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576

Conference

ConferenceIEEE 10th International Conference on Industrial Informatics, INDIN 2012
Country/TerritoryChina
CityBeijing
Period25/07/1227/07/12

Keywords

  • Cloud Computing
  • Cloud Manufaturing
  • Hadoop Framework
  • Massive Data Management

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