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...
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Abstract. Automatic program specialization can derive efficient implementations from generic components, thus reconciling the often opposing goals of genericity and efficiency. Thi...
Ulrik Pagh Schultz, Julia L. Lawall, Charles Conse...
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...