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» Automatic Optimization for MapReduce Programs
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CEC
2007
IEEE
13 years 8 months ago
Parallel PSO using MapReduce
In optimization problems involving large amounts of data, such as web content, commercial transaction information, or bioinformatics data, individual function evaluations may take ...
Andrew W. McNabb, Christopher K. Monson, Kevin D. ...
OSDI
2004
ACM
14 years 5 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
WEBDB
2010
Springer
173views Database» more  WEBDB 2010»
13 years 10 months ago
Manimal: Relational Optimization for Data-Intensive Programs
The MapReduce distributed programming framework is very popular, but currently lacks the optimization techniques that have been standard with relational database systems for many ...
Michael J. Cafarella, Christopher Ré
USENIX
2008
13 years 7 months ago
Automatic Optimization of Parallel Dataflow Programs
Large-scale parallel dataflow systems, e.g., Dryad and Map-Reduce, have attracted significant attention recently. High-level dataflow languages such as Pig Latin and Sawzall are b...
Christopher Olston, Benjamin Reed, Adam Silberstei...
HPCA
2007
IEEE
14 years 5 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...