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Predicting the effect on performance of container-managed persistence in a distributed enterprise application
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Bacigalupo, David A., Xue, J. W. J., Hammond, Simon D., Jarvis, Stephen A., Dillenberger, D. N. and Nudd, G. R. (2007) Predicting the effect on performance of container-managed persistence in a distributed enterprise application. In: 6th International Workshop on Performance Modelling, Evaluation and Optimization of Parallel and Distributed Systems (PMEO'07), Long Beach, California, USA, 26-30 Mar 2007. Published in: IEEE International Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. pp. 1-8. ISBN 1424409101. doi:10.1109/IPDPS.2007.370583
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Official URL: http://dx.doi.org/10.1109/IPDPS.2007.370583
Abstract
Container-managed persistence is an essential technology as it dramatically simplifies the implementation of enterprise data access. However it can also impose a significant overhead on the performance of the application at runtime. This paper presents a layered queuing performance model for predicting the effect of adding or removing container-managed persistence to a distributed enterprise application, in terms of response time and throughput performance metrics. Predictions can then be made for new server architectures - that is, server architectures for which only a small number of measurements have been made (e.g. to determine request processing speed). An experimental analysis of the model is conducted on a popular enterprise computing architecture based on IBM Websphere, using Enterprise Java Bean-based container-managed persistence as the middleware functionality. The results provide strong experimental evidence for the effectiveness of the model in terms of the accuracy of predictions, the speed with which predictions can be made and the low overhead at which the model can be rapidly parameterised.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science > Computer Science | ||||
| Journal or Publication Title: | IEEE International Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. | ||||
| Publisher: | IEEE | ||||
| ISBN: | 1424409101 | ||||
| Official Date: | 2007 | ||||
| Dates: |
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| Page Range: | pp. 1-8 | ||||
| DOI: | 10.1109/IPDPS.2007.370583 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 6th International Workshop on Performance Modelling, Evaluation and Optimization of Parallel and Distributed Systems (PMEO'07) | ||||
| Type of Event: | Workshop | ||||
| Location of Event: | Long Beach, California, USA | ||||
| Date(s) of Event: | 26-30 Mar 2007 | ||||
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