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Early Capacity Testing of an Enterprise Service Bus

Early Capacity Testing of an Enterprise Service Bus

Ken Ueno, Michiaki Tatsubori
Copyright: © 2009 |Volume: 6 |Issue: 4 |Pages: 18
ISSN: 1545-7362|EISSN: 1546-5004|ISSN: 1545-7362|EISBN13: 9781616920364|EISSN: 1546-5004|DOI: 10.4018/jwsr.2009071302
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MLA

Ueno, Ken, and Michiaki Tatsubori. "Early Capacity Testing of an Enterprise Service Bus." IJWSR vol.6, no.4 2009: pp.30-47. http://doi.org/10.4018/jwsr.2009071302

APA

Ueno, K. & Tatsubori, M. (2009). Early Capacity Testing of an Enterprise Service Bus. International Journal of Web Services Research (IJWSR), 6(4), 30-47. http://doi.org/10.4018/jwsr.2009071302

Chicago

Ueno, Ken, and Michiaki Tatsubori. "Early Capacity Testing of an Enterprise Service Bus," International Journal of Web Services Research (IJWSR) 6, no.4: 30-47. http://doi.org/10.4018/jwsr.2009071302

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Abstract

An enterprise service-oriented architecture is typically done with a messaging infrastructure called an Enterprise Service Bus (ESB). An ESB is a bus which delivers messages from service requesters to service providers. Since it sits between the service requesters and providers, it is not appropriate to use any of the existing capacity planning methodologies for servers, such as modeling, to estimate the capacity of an ESB. There are programs that run on an ESB called mediation modules. Their functionalities vary and depend on how people use the ESB. This creates difficulties for capacity planning and performance evaluation. This article proposes a capacity planning methodology and performance evaluation techniques for ESBs, to be used in the early stages of the system development life cycle. The authors actually run the ESB on a real machine while providing a pseudo-environment around it. In order to simplify setting up the environment we provide ultra-light service requestors and service providers for the ESB under test. They show that the proposed mock environment can be set up with practical hardware resources available at the time of hardware resource assessment. Our experimental results showed that the testing results with our mock environment correspond well with the results in the real environment.

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