Paper Info
Title
MapReduce-Based Data Processing on IoT
Abstract
This paper presents a framework for data processing on the Internet of Things (IoT). It enables data on multiple nodes on IoT to be locally processed as much as possible by using the Map Reduce processing without transmitting the data to data-centers or clusters, and assembled into a few nodes. This paper describes the design and implementation of the framework, basic performance, and practical application.
Year
DOI
Venue
2014
10.1109/iThings.2014.32
GreenCom), IEEE and Cyber, Physical and Social Computing
Keywords
Field
DocType
Internet of Things,computer centres,data handling,parallel processing,Internet of Things,IoT,MapReduce,data center,data processing,IoT,mapreduce,mobile agent
Data processing,Computer science,Internet of Things,Mobile agent,Server,Computer network,Peer to peer computing,Java,Distributed computing
Conference
Citations 
PageRank 
References 
2
0.37
12
Authors
1
Name
Order
Citations
PageRank
Ichiro Satoh188296.32