Abstract: MapReduce is a simple and flexible parallel programming model proposed by Google for large-scale distributed data processing. In this paper, we present a design and prototype implementation ...

Hadoop is an open source implementation of the MapReduce programming model. ... In the HDFS architecture, the master is called a NameNode and the slaves are called DataNodes.

2. Data Processing engine : Map Reduce programming paradigm HDFS Architecture: Hadoop Distributed File system is a Master Slave architecture with a single name node and many data nodes. Name node ...

Mapreduce is a programming model for processing and generating large data sets. 4 Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs and a ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

A system based on Hadoop that implements the MapReduce programming model is used to improve the classification of large-scale remote sensing images. In [20] , a MapReduce-based distributed SVM is used ...

MapReduce is a simple and flexible parallel programming model proposed by Google for large-scale distributed data processing. In this paper, we present a design and prototype implementation of ...