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Skyline Query with Grid-based and Angular based partition method


Chauhan Mitali B. , Kalol Institute of Technology and Reseach Center; Hitesh Patel, Kalol Institute of Technology and Reseach Center


Big Data, Skyline query, Angular partition, Grid based partition


During the last decades, management of Data and storage has become increasingly distributed. So requirement of the advanced query operators, such as skyline queries, are necessary in order to help users to handle the huge amount of available data by identifying a set of interesting data objects. Fast skyline selection of high-quality web services is of critically importance to upgrade e-commerce and various cloud applications. In this paper we are presenting the 5v’s characteristics of the Big Data and also technology which is used to handle Big Data. Here we also discuss the concept of skyline which filters out the set of interesting points from the large set of data points from database. The skyline of a set of multi-dimensional points (tuples) consists of those points for which no clearly better point exists in the given set, using component-wise comparison on domains of interest. Angular partitioning divides the data space using angles, motivated by the observation that skyline tuples are located near the origin.

Other Details

Paper ID: IJSRDV4I50058
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 23-26

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