Results 201 to 210 of about 10,108 (225)
Some of the next articles are maybe not open access.

MapReduce in GPI-Space

2014
The computing power of modern high performance systems cannot be fully exploited using traditional parallel programming models. On the other hand, the growing demand for processing big data volumes requires a better control of the workflows, an efficient storage management, as well as a fault-tolerant runtime system. Trying to offer our proper solution
Tiberiu Rotaru   +2 more
openaire   +1 more source

An Overview of the MapReduce Model

2017
Data is getting accumulated fast in various domains all over the world and the data size varies from terabytes to yottabytes. Such huge size data are known as Big Data. Extraction of meaningful information from raw data using special patterns are called Data Mining and sophisticated algorithms have been designed for this purpose.
S. Rajeswari   +3 more
openaire   +1 more source

MapReduce

2018
Thomas Sterling   +2 more
  +4 more sources

A MapReduce Algorithm for EL+. [PDF]

open access: possible, 2010
Recently, the use of the MapReduce framework for distributed RDF Schema reasoning has shown that it is possible to compute the deductive closure of sets of over a billion RDF triples within a reasonable time span [22], and that it is also possible to carry the approach over to OWL Horst [21].
Mutharaju, Raghava   +2 more
openaire   +1 more source

MapReduce

2017
Stefania Loredana Nita   +1 more
openaire   +1 more source

MapReduce

2011
David Padua   +40 more
openaire   +1 more source

Distributed data management using MapReduce

ACM Computing Surveys, 2014
Beng Chin Ooi, M Tamer Özsu, Sai Wu
exaly  

The family of mapreduce and large-scale data processing systems

ACM Computing Surveys, 2013
Sherif Sakr, Anna Liu
exaly  

Classification Framework of MapReduce Scheduling Algorithms

ACM Computing Surveys, 2015
Nidhi Tiwari   +2 more
exaly  

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