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Peer-to-Peer Load Testing
Meira, Jorge Augusto; Almeida, Eduardo Cunha; Le Traon, Yves et al.
2012In Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on
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Keywords :
peer-to-peer; large-scale systems; load testing
Abstract :
[en] Nowadays the large-scale systems are common-place in any kind of applications. The popularity of the web created a new environment in which the applications need to be highly scalable due to the data tsunami generated by a huge load of requests (i.e., connections and business operations). In this context, the main question is to validate how far the web applications can deal with the load generated by the clients. Load testing is a technique to analyze the behavior of the system under test upon normal and heavy load conditions. In this work we present a peer-to-peer load testing approach to isolate bottleneck problems related to centralized testing drivers and to scale up the load. Our approach was tested in a DBMS as study case and presents satisfactory results.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2013-014
Author, co-author :
Meira, Jorge Augusto ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Almeida, Eduardo Cunha
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Sunye, Gerson
External co-authors :
yes
Language :
English
Title :
Peer-to-Peer Load Testing
Publication date :
2012
Event name :
2012 IEEE Fifth International Conference on Software Testing, Verification and Validation
Event place :
Montreal, QC, Canada
Event date :
April 17-21, 2012
Audience :
International
Main work title :
Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on
Publisher :
IEEE
ISBN/EAN :
978-1-4577-1906-6
Pages :
642-647
Peer reviewed :
Peer reviewed
Commentary :
ICST - 2012 IEEE Fifth International Conference on Software Testing, Verification and Validation
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