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» Parallel PSO using MapReduce
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SIGMOD
2010
ACM
214views Database» more  SIGMOD 2010»
14 years 2 months ago
ParaTimer: a progress indicator for MapReduce DAGs
Time-oriented progress estimation for parallel queries is a challenging problem that has received only limited attention. In this paper, we present ParaTimer, a new type of timere...
Kristi Morton, Magdalena Balazinska, Dan Grossman
HPDC
2010
IEEE
13 years 11 months ago
Massive Semantic Web data compression with MapReduce
The Semantic Web consists of many billions of statements made of terms that are either URIs or literals. Since these terms usually consist of long sequences of characters, an effe...
Jacopo Urbani, Jason Maassen, Henri E. Bal
SCP
2008
150views more  SCP 2008»
13 years 9 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
OSDI
2004
ACM
14 years 10 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
CCGRID
2010
IEEE
13 years 11 months ago
A Map-Reduce System with an Alternate API for Multi-core Environments
Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal