Predicting the effect on performance of container-managed persistence in a distributed enterprise application

David A. Bacigalupo*, James W.J. Xue, Simon D. Hammond, Stephen A. Jarvis, Donna N. Dillenberger, Graham R. Nudd

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM
DOIs
Publication statusPublished - 2007
Event21st International Parallel and Distributed Processing Symposium, IPDPS 2007 - Long Beach, CA, United States
Duration: 26 Mar 200730 Mar 2007

Publication series

NameProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM

Conference

Conference21st International Parallel and Distributed Processing Symposium, IPDPS 2007
Country/TerritoryUnited States
CityLong Beach, CA
Period26/03/0730/03/07

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Mathematics(all)

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