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. ...
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...
The MapReduce distributed programming framework is very popular, but currently lacks the optimization techniques that have been standard with relational database systems for many ...
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...
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...