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Research on Hybrid Distributed Computing System Based on Embedded System

초록

영어

With the rapid development of embedded system and Internet of Things technology, embedded system and smart device based on embedded system is collecting huge amounts of data, and corresponding data processing and application method have been greatly changed, different from the traditional big data and cloud computing focus , local processing and application become important trend. This paper tries to take Cortex-A7 as the main system with the stronger ability , Hadoop distributed computing system is deployed in embedded system and could meet the demand of the future data process with directly managing the resource-constrained sensors, embedded systems and smart devices . Successfully deploying over 20GB data in the test, the system is verified that it can complete most of the functions of data processing cluster , and can also manage the collected sensors and embedded system terminal ,with better research and market promotional value.

목차

Abstract
 1. Introduction
 2. Embedded Systems are Profoundly Changing the Big Data World
 3. Design of Hadoop Distributed Computing based on Embedded System
  3.1. Hybrid Distributed Data Processor System Based on Embedded System
  3.2. Research on Parallel Computing System based on Embedded
  3.3. The Hadoop Distributed Computing System based on Embedded System Design
 4. Deploying Hadoop on Embedded System
  4.1. The Basic Structure of the System
  4.2. Deployment of the Operating System
  4.3. Node Configuration
  4.4. Configured SSH without Password Authentication
  4.5. Install JDK
  4.6. Deployment of Hadoop
  4.7. Batch Node Management
 5. System Testing
 6. Summarization and Prospect
 References

저자정보

  • Li Zhe Department of Automatic Control, Northwestern Polytechnical University, Xi'an, China
  • Mu Dejun Department of Automatic Control, Northwestern Polytechnical University, Xi'an, China
  • Zhang Tianfan Department of Automatic Control, Northwestern Polytechnical University, Xi'an, China
  • Guo Lantian Department of Automatic Control, Northwestern Polytechnical University, Xi'an, China

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