An efficient pre and post processing skyline computational framework using mapreduce

Abstract

Parallel processing will change the world of computation. Now a day’s parallel processing will take leading role in all processing that are aided with computer system. Skyline query processing is not exceptional. Skyline processing with MapReduce will take lead role in skyline computation. Still Skyline processing with MapReduce do not take full advantage of parallelism due to processing of including unnecessary data. This paper contains our proposed Map Reduce-Pre and Post Filter based Skyline Computation (MR-PPFS). The aim of this model is to reduce number of candidates before sending dataset to MapReduced skyline computation. This idea reduces MapReduced skyline computation time compare to other algorithms.