MapReduce Based Scalable Range Query Architecture for Big Spatial Data

被引：0
|
作者：
Kizgindere, Umut [1 ]
Eken, Suleyman [1 ]
Sayar, Ahmet [1 ]
机构：
[1] Kocaeli Univ, Dept Comp Engn, TR-41380 Izmit, Turkey
来源：
2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2015年
关键词：
Big spatial data; range query; MapReduce; scalability;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Finding all objects that overlap a given range query is very important in terms of extraction useful information from big spatial data. In this study, in order to be able to realize range query on large amounts of spatial data, three datasets are created with different size and a MapReduce computation model is set up to test scalability of range queries. Experimental results show that process times for range query reduce with increase of conventional machines.
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页数：4
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