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» MapReduce: a flexible data processing tool
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CACM
2010
82views more  CACM 2010»
13 years 5 months ago
MapReduce: a flexible data processing tool
Jeffrey Dean, Sanjay Ghemawat
HPCC
2009
Springer
13 years 9 months ago
Kahn Process Networks are a Flexible Alternative to MapReduce
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...
Zeljko Vrba, Pål Halvorsen, Carsten Griwodz,...
HPDC
2010
IEEE
13 years 6 months ago
MOON: MapReduce On Opportunistic eNvironments
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
ICDE
2012
IEEE
216views Database» more  ICDE 2012»
11 years 8 months ago
Load Balancing in MapReduce Based on Scalable Cardinality Estimates
—MapReduce has emerged as a popular tool for distributed and scalable processing of massive data sets and is increasingly being used in e-science applications. Unfortunately, the...
Benjamin Gufler, Nikolaus Augsten, Angelika Reiser...
SCP
2008
150views more  SCP 2008»
13 years 5 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel