Cloud Programming Models (MapReduce) Abstract: MapReduce is a leading programming model for big data analytics. It uses pure functional concepts that benefit the highest level of parallelism ...

Hadoop provides a sophisticated framework for cloud platform programmers, which, MapReduce is a programming model for large-scale data sets of parallel computing. By MapReduce distributed processing ...

One of the main challenges of parallel programming for cloud computing is to choose the right model and framework that can suit the specific needs and characteristics of the application and the ...

MapReduce is a programming model specifically implemented for processing large data sets. The model was developed by Jeffrey Dean and Sanjay Ghemawat at Google (see “ MapReduce: Simplified data ...

Cloud and grid software provider Platform Computing has announced support for the Apache Hadoop MapReduce programming model. Close. Latest News; ...

MapReduce: A programming model that simplifies distributed data processing by dividing tasks into map and reduce functions operating in a parallel, fault-tolerant manner.

SETI @ Home sends chunks of data and computing algorithms to participating volunteer machines over the internet. These machines are not verified and trusted thus risking exposure of confidential data.

This MapReduce program calculates the frequency of n-grams in a given input text. You can specify the size of the n-gram (e.g., unigram, bigram, trigram), and the program outputs the frequency of each ...

K-Nearest Neighbors Implementation in Parallel Programming and Cloud Computing This project represents our culminating work for the CSS534: Parallel Programming in Grid and Cloud course. Our chosen ...