Denaro, G;
Polini, A;
Emmerich, W;
(2004)
Early performance testing of distributed software applications.
In:
UNSPECIFIED
(pp. 94-103).
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Abstract
Performance characteristics, such as response time, throughput and scalability, are key quality attributes of distributed applications. Current practice, however, rarely applies systematic techniques to evaluate performance characteristics. We argue that evaluation of performance is particularly crucial in early development stages, when important architectural choices are made. At first glance, this contradicts the use of testing techniques, which are usually applied towards the end of a project. In this paper, we assume that many distributed systems are built with middleware technologies, such as the Java 2 Enterprise Edition (J2EE) or the Common Object Request Broker Architecture (CORBA). These provide services and facilities whose implementations are available when architectures are defined. We also note that it is the middleware functionality, such as transaction and persistence services, remote communication primitives and threading policy primitives, that dominate distributed system performance. Drawing on these observations, this paper presents a novel approach to performance testing of distributed applications. We propose to derive application-specific test cases from architecture designs so that performance of a distributed application can be tested using the middleware software at early stages of a development process. We report empirical results that support the viability of the approach.
Type: | Book chapter |
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Title: | Early performance testing of distributed software applications |
ISBN: | 1581136730 |
ISBN-13: | 9781581136739 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/974043.974059 |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/871 |
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