Open AccessAn Efficient Pre and Post Processing Skyline Computational Framework using Mapreduce
Author(s) -
P.Venkateswara rao,
Mohammed Ali Hussain
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3587.078219
Subject(s) - skyline , computer science , computation , parallel computing , parallel processing , parallelism (grammar) , data processing , filter (signal processing) , data mining , database , algorithm , computer vision
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.