Article (Périodiques scientifiques)
Stress Testing of Transactional Database Systems
MEIRA, Jorge Augusto; Almeida, Eduardo Cunha de; Sunyé, Gerson et al.
2013In Journal of Information and Data Management
Peer reviewed
 

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Mots-clés :
database; stress testing; testing methodology; transaction
Résumé :
[en] Transactional database management systems (DBMS) have been successful at supporting traditional transaction processing workloads. However, web-based applications that tend to generate huge numbers of concurrent business operations are pushing DBMS performance over their limits, thus threatening overall system availability. Then, a crucial question is how to test DBMS performance under heavy workload conditions. Answering this question requires a testing methodology to set up non-biased conditions for pushing a particular DBMS over its normal performance limits (i.e., to stress it). In this article, we present a stress testing methodology for DBMS to search for defects in supporting very heavy workloads. Our methodology leverages distributed testing techniques and takes into account the various biases that may affect the test results. It progressively increases the workload along with several tuning steps up to a stress condition. We validate our methodology with empirical studies on two popular DBMS (one proprietary, one open-source) and detail the defects that have been found.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
MEIRA, Jorge Augusto  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Almeida, Eduardo Cunha de
Sunyé, Gerson
LE TRAON, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Valduriez, Patrick
Langue du document :
Anglais
Titre :
Stress Testing of Transactional Database Systems
Date de publication/diffusion :
2013
Titre du périodique :
Journal of Information and Data Management
Peer reviewed :
Peer reviewed
Disponible sur ORBilu :
depuis le 05 novembre 2013

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