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SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
14 years 2 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
HPCA
2007
IEEE
15 years 11 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
SIGMOD
2011
ACM
299views Database» more  SIGMOD 2011»
14 years 2 months ago
Processing theta-joins using MapReduce
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Alper Okcan, Mirek Riedewald
KBSE
2010
IEEE
14 years 9 months ago
An experience report on scaling tools for mining software repositories using MapReduce
The need for automated software engineering tools and techniques continues to grow as the size and complexity of studied systems and analysis techniques increase. Software enginee...
Weiyi Shang, Bram Adams, Ahmed E. Hassan
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
15 years 11 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...