Mobile Big Data Query Based on Double R-tree and Double Indexing

DOI

10.2991/iccia.2012.259How to use a DOI?

Keywords

mobile query, big data, double R-tree and double indexing

Abstract

The amount of data in our industry and the world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, which is also called big data, but also to analyze and query from it. In order to put forward the universal method to response mobile big data query, queries are separated and grouped according to kinds of query for massive mobile objects in the space. The indexing method for grouping the mobile objects with Grid (GG TPR-tree) has great efficiency to manage a massive capacity of mobile objects within a limited area, but it only could meet a part of requirements for mobile big data query if the GG TPR-tree was used solely. This thesis offers solutions to simple immediate query, simple continuous query, active window query, and continuous window query, dynamic condition query and other query requests by employing DTDI index structure. The experiments prove that with the support of DTDI index structure, query of massive mobile objects has higher precision and better query performance.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ye Liang
PY  - 2014/05
DA  - 2014/05
TI  - Mobile Big Data Query Based on Double R-tree and Double Indexing
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1056
EP  - 1059
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.259
DO  - 10.2991/iccia.2012.259
ID  - Liang2014/05
ER  -