DocumentCode
151474
Title
Bloom filter based optimization on HBase with MapReduce
Author
Bhushan, Mani ; Banerjea, Shashwati ; Yadav, Santosh Kumar
Author_Institution
Dept. of Comput. Sci. & Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India
fYear
2014
fDate
5-6 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
In recent time, HBase is growing with its requirement as data exploding in E-world. Hadoop provide distributed manner and taking technology to next level as it is using HBase to store bulk data. HBase works with Hadoop to transfer data to datanodes. As traditionally large file need to split for performing operations but MapReduce provide facility to do operations on single file. This paper providing concept to reduce traffic of data on network with efficient manner through probabilistic model of Bloom filter. Instead of taking whole data, Bloom filter is providing join operation only with array data structure by developing global filter.
Keywords
data structures; parallel programming; statistical analysis; Bloom filter based optimization; HBase; MapReduce; e-world; join operation; probabilistic model; Arrays; Big data; Databases; Facebook; Real-time systems; Servers; Big Data; Bloom filter; Hadoop; MapReduce;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-4675-4
Type
conf
DOI
10.1109/ICDMIC.2014.6954230
Filename
6954230
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