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
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