DocumentCode :
243617
Title :
R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment
Author :
Shan Huang ; Botao Wang ; Jingyang Zhu ; Guoren Wang ; Ge Yu
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2014
fDate :
14-14 Dec. 2014
Firstpage :
569
Lastpage :
574
Abstract :
It has become a challenge to organize and process large scale multi-dimensional data. In this paper, we present R-HBase, a multi-dimensional indexing framework for cloud computing environment. The R-HBase framework consists of storage layer and index layer. The storage layer supports high throughput and the index layer answers query efficiently. R-HBase is evaluated with synthetic data. R-HBase can handle tens of thousands of inserts per second, while efficiently processing multi-dimensional queries. The results also show that R-HBase is faster than MD-HBase and at the same time R-HBase supports multi-dimensional queries with the number of dimensions more than three.
Keywords :
cloud computing; database indexing; query processing; storage management; R-HBase; cloud computing environment; high throughput; index layer; large scale multidimensional data organization; large scale multidimensional data processing; multidimensional indexing framework; multidimensional query processing; query answering; storage layer; synthetic data; Cloud computing; Electronic mail; Generators; Indexing; Throughput; Time factors; Cloud Computing; HBase; Multi-Dimension; R-Tree; Space Filling Curve;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
Type :
conf
DOI :
10.1109/ICDMW.2014.46
Filename :
7022647
Link To Document :
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