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» MapReduce: a flexible data processing tool
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41
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CACM
2010
82views more  CACM 2010»
14 years 10 months ago
MapReduce: a flexible data processing tool
Jeffrey Dean, Sanjay Ghemawat
77
Voted
HPCC
2009
Springer
15 years 2 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,...
80
Voted
HPDC
2010
IEEE
14 years 11 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...
124
Voted
ICDE
2012
IEEE
216views Database» more  ICDE 2012»
13 years 21 days 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...
108
Voted
SCP
2008
150views more  SCP 2008»
14 years 10 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