In recent years the MapReduce framework has become one of the most popular parallel computing platform for processing big data. It is frequently used by companies such as Facebook, IBM, and Google.

This repository contains the implementation of a basic MapReduce framework simulation as part of the Operating Systems course project. The project demonstrates key operating system concepts, including ...

Saiba como aplicar o paradigma MapReduce para projetar algoritmos escaláveis e tolerantes a falhas para problemas como classificação, pesquisa, análise de gráficos e aprendizado de máquina.

Erfahren Sie, wie Sie das MapReduce-Paradigma anwenden, um skalierbare und fehlertolerante Algorithmen für Probleme wie Sortieren, Suchen, Graphanalyse und maschinelles Lernen zu entwerfen.

YARN, a typically-silly open source acronym for "yet another resource negotiator" factors out the management components of Hadoop 1.0's MapReduce engine from the MapReduce processing algorithm itself.

Apriori Algorithm Implementation: The Apriori algorithm is implemented within the MapReduce framework, involving the iterative generation of candidate itemsets and pruning of infrequent itemsets until ...

In this paper, the authors have implemented an efficient MapReduce Apriori algorithm (MRApriori) based on Hadoop-MapReduce model which needs only two phases (MapReduce Jobs) to find all frequent k ...

The algorithm is tested on a set of benchmark instances. MapReduce model is used to parallelize the execution of DPGA automatically. Experimental results show that DPGA with MapReduce model achieves a ...