DocumentCode :
2193177
Title :
Benchmark of Map-Reduce Framework in MongoDB
Author :
Patel, Chirag ; Hasan, Mosin ; Tanawala, Bhavesh
Author_Institution :
Department of Computer Engineering, Birla Vishvakarma Mahavidyalaya, Vallabh Vidyanagar, India
fYear :
2015
fDate :
24-25 Jan. 2015
Firstpage :
1
Lastpage :
4
Abstract :
As Performance analysis of Map-Reduce is needed specifically in MongoDB as Map-Reduce is widely used programming model for processing large amount of distributed data. Map-Reduce is a software framework for developing distributed application to process huge amount of data i.e. BigData distributed across cluster or Grid. The main aspects behind this paper is to present Design of ‘Benchmark of Map-Reduce Framework in MongoDB’ i.e. “MongoMRBench” and “MongoGen” is a system that generates semantic large data that are supported by MongoDB which is Document based database.
Keywords :
Analytical models; Benchmark testing; Computers; Data models; Databases; Performance analysis; Benchmark; BigData; MRBench; Map-Reduce; MongoGen; MongoMRBench; TeraGen;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
Type :
conf
DOI :
10.1109/EESCO.2015.7253761
Filename :
7253761
Link To Document :
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