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Raspberry Pi Hadoop Cluster based Data Processing

Published on July 2016 by Hemangi Karchalkar, Poonam Railkar
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International Conference on Internet of Things, Next Generation Networks and Cloud Computing
Foundation of Computer Science USA
ICINC2016 - Number 2
July 2016
Authors: Hemangi Karchalkar, Poonam Railkar
adceb87d-856a-470f-8272-b973c91c997e

Hemangi Karchalkar, Poonam Railkar . Raspberry Pi Hadoop Cluster based Data Processing. International Conference on Internet of Things, Next Generation Networks and Cloud Computing. ICINC2016, 2 (July 2016), 1-3.

@article{
author = { Hemangi Karchalkar, Poonam Railkar },
title = { Raspberry Pi Hadoop Cluster based Data Processing },
journal = { International Conference on Internet of Things, Next Generation Networks and Cloud Computing },
issue_date = { July 2016 },
volume = { ICINC2016 },
number = { 2 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/icinc2016/number2/25527-4786/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Internet of Things, Next Generation Networks and Cloud Computing
%A Hemangi Karchalkar
%A Poonam Railkar
%T Raspberry Pi Hadoop Cluster based Data Processing
%J International Conference on Internet of Things, Next Generation Networks and Cloud Computing
%@ 0975-8887
%V ICINC2016
%N 2
%P 1-3
%D 2016
%I International Journal of Computer Applications
Abstract

Implementing Raspberry PiHadoop Clusters to process data collected by sensor nodes and make them available to users via internet for real time decision making . Hadoop cluster is installed on multiple Raspberry Pi computers. This comprises installing Hadoop on each Raspberry Pi node, and then configuring it thereby allowing the nodes to all communicate with each other properly . Using Hadoop Map-reduce framework and HDFS(Hadoop Distributed File System) for collecting ,managing data from sensor nodes by running map-reduce and accessing the processed ,aggregated data via internet (Internet Of Things).

References
  1. Alex Woodie, George Liopold, Steve Conway, "Hadoop on a Raspberry Pi-Isaac Lopez" "http://www. datanami. com/2013/11/27/hadoop_on_a_raspberry_pi/"
  2. In-Yong Jung, Ki-Hyun Kim, Byong-John Han, and Chang-Sung Jeong "Hadoop-Based Distributed Sensor Node Management System"Volume 2014(2014), Article ID 601868
  3. Shaun Franks, JohnathanYerby "creating a lost-cost supercomputer with Raspebby Pi'
  4. Vijaykumar S, Dr. M Balamurugan, Ranjani K "Big Data: Hadoop Cluster Deployment on ARM Architecture" (IJARCCE) Vol 4, June 2015
  5. P. Turton, T. F. Turton, "PIBRAIN - A COST-EFFECTIVE SUPERCOMPUTER FOR EDUCATIONAL USE"
  6. Mahesh Maurya, SunitaMahajan, "Performance analysis of Map-Reduce Programs on Hadoop cluster" Year: 2012, IEEE Conference Publications
  7. Mamoru Sekiyama, Bong Keun Kim, SeishoIrie, and TamioTanikawa,"Sensor Data Processing Based on the Data Log System Using the Portable IoT Device and RT-Middleware" Year: 2015, IEEE Conference Publications
Index Terms

Computer Science
Information Sciences

Keywords

Raspberry Pi hadoop Map-reduce Hdfs (hadoop Distributed File System) Sensornodes Cluster Internet Of Things (iot).