Imperial College London
Alternate

ProfessorWilliamKnottenbelt

Faculty of Engineering, Department of Computing

Professor of Applied Quantitative Analysis
 
 
 
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Contact

 

+44 (0)20 7594 8331w.knottenbelt Website

 
 
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Location

 

E363ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Gandini:2014:10.1007/978-3-319-10885-8_2,
author = {Gandini, A and Gribaudo, M and Knottenbelt, WJ and Osman, R and Piazzolla, P},
doi = {10.1007/978-3-319-10885-8_2},
pages = {16--29},
publisher = {Springer International Publishing},
title = {Performance evaluation of NoSQL databases},
url = {http://dx.doi.org/10.1007/978-3-319-10885-8_2},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - NoSQL databases have emerged as a backend to support Big Data applications. NoSQL databases are characterized by horizontal scalability, schema-free data models, and easy cloud deployment. To avoid overprovisioning, it is essential to be able to identify the correct number of nodes required for a specific system before deployment. This paper benchmarks and compares three of the most common NoSQL databases: Cassandra, MongoDB and HBase. We deploy them on the Amazon EC2 cloud platform using different types of virtual machines and cluster sizes to study the effect of different configurations. We then compare the behavior of these systems to high-level queueing network models. Our results show that the models are able to capture the main performance characteristics of the studied databases and form the basis for a capacity planning tool for service providers and service users.
AU  - Gandini,A
AU  - Gribaudo,M
AU  - Knottenbelt,WJ
AU  - Osman,R
AU  - Piazzolla,P
DO  - 10.1007/978-3-319-10885-8_2
EP  - 29
PB  - Springer International Publishing
PY  - 2014///
SN  - 0302-9743
SP  - 16
TI  - Performance evaluation of NoSQL databases
UR  - http://dx.doi.org/10.1007/978-3-319-10885-8_2
UR  - http://hdl.handle.net/10044/1/106262
ER  -
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