We present a framework and methodology to benchmark NoSQL stores for large scale model persistence. NoSQL technologies potentially improve performance of some applications and provide schema-less data-structures, so are particularly suited to persisting large and heterogeneous models. Recent studies consider only a narrow set of NoSQL stores for large scale modelling.
Beschreibung
A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence - Springer
%0 Book Section
%1 noKey
%A Shah, SeyyedM.
%A Wei, Ran
%A Kolovos, DimitriosS.
%A Rose, LouisM.
%A Paige, RichardF.
%A Barmpis, Konstantinos
%B Model-Driven Engineering Languages and Systems
%D 2014
%E Dingel, Juergen
%E Schulte, Wolfram
%E Ramos, Isidro
%E Abrahão, Silvia
%E Insfran, Emilio
%I Springer International Publishing
%K benchmark nosql webbackend
%P 586-601
%R 10.1007/978-3-319-11653-2_36
%T A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence
%U http://dx.doi.org/10.1007/978-3-319-11653-2_36
%V 8767
%X We present a framework and methodology to benchmark NoSQL stores for large scale model persistence. NoSQL technologies potentially improve performance of some applications and provide schema-less data-structures, so are particularly suited to persisting large and heterogeneous models. Recent studies consider only a narrow set of NoSQL stores for large scale modelling.
%@ 978-3-319-11652-5
@incollection{noKey,
abstract = {We present a framework and methodology to benchmark NoSQL stores for large scale model persistence. NoSQL technologies potentially improve performance of some applications and provide schema-less data-structures, so are particularly suited to persisting large and heterogeneous models. Recent studies consider only a narrow set of NoSQL stores for large scale modelling. },
added-at = {2015-02-09T11:08:30.000+0100},
author = {Shah, SeyyedM. and Wei, Ran and Kolovos, DimitriosS. and Rose, LouisM. and Paige, RichardF. and Barmpis, Konstantinos},
biburl = {https://www.bibsonomy.org/bibtex/22266dc24facbf84ef5c2f004aeef9698/mbruschi},
booktitle = {Model-Driven Engineering Languages and Systems},
description = {A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence - Springer},
doi = {10.1007/978-3-319-11653-2_36},
editor = {Dingel, Juergen and Schulte, Wolfram and Ramos, Isidro and Abrahão, Silvia and Insfran, Emilio},
interhash = {240ee1f04ceb9f598abcb6c2570493cd},
intrahash = {2266dc24facbf84ef5c2f004aeef9698},
isbn = {978-3-319-11652-5},
keywords = {benchmark nosql webbackend},
language = {English},
pages = {586-601},
publisher = {Springer International Publishing},
series = {Lecture Notes in Computer Science},
timestamp = {2015-02-09T11:08:30.000+0100},
title = {A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence},
url = {http://dx.doi.org/10.1007/978-3-319-11653-2_36},
volume = 8767,
year = 2014
}