TY - GEN
T1 - Performance modeling evolving enterprise service oriented architectures
AU - Brebner, Paul
AU - O'Brien, Liam
AU - Gray, Jon
PY - 2009
Y1 - 2009
N2 - NICTA has developed a Service Oriented Performance Modeling technology, and for several years has conducted field-trials of the technology incollaboration with government and non-government projects. The technology enables rapid modeling and performance prediction of large-scale heterogeneous Service Oriented Architectures (SOAs), using a methodology and tool support to model and simulate complex service compositions. Evolution in Enterprise Service Oriented Architectures (ESOAs) presents significant challenges to managing risks associated with performance and scalability. Four of the fieldtrials involved the construction and use of models to specifically address performance risks related to the evolution of service architectures, resulting from, and to explore changes in: architecture, services, deployment, resources, and loads. This paper first presents some unifying observations on the architectural commonalities of evolving enterprise services, discusses the performance and scalability challenges, and describes some common approaches to addressing them. We then demonstrate Service Oriented Performance Modeling applied to an illustrative example of enterprise service evolution. We conclude with a presentation of four case-studieswhich summarize our experiences with performance modeling evolving service architectures.
AB - NICTA has developed a Service Oriented Performance Modeling technology, and for several years has conducted field-trials of the technology incollaboration with government and non-government projects. The technology enables rapid modeling and performance prediction of large-scale heterogeneous Service Oriented Architectures (SOAs), using a methodology and tool support to model and simulate complex service compositions. Evolution in Enterprise Service Oriented Architectures (ESOAs) presents significant challenges to managing risks associated with performance and scalability. Four of the fieldtrials involved the construction and use of models to specifically address performance risks related to the evolution of service architectures, resulting from, and to explore changes in: architecture, services, deployment, resources, and loads. This paper first presents some unifying observations on the architectural commonalities of evolving enterprise services, discusses the performance and scalability challenges, and describes some common approaches to addressing them. We then demonstrate Service Oriented Performance Modeling applied to an illustrative example of enterprise service evolution. We conclude with a presentation of four case-studieswhich summarize our experiences with performance modeling evolving service architectures.
UR - http://www.scopus.com/inward/record.url?scp=74349095617&partnerID=8YFLogxK
U2 - 10.1109/WICSA.2009.5290793
DO - 10.1109/WICSA.2009.5290793
M3 - Conference contribution
SN - 9781424449859
T3 - 2009 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, WICSA/ECSA 2009
SP - 71
EP - 80
BT - 2009 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, WICSA/ECSA 2009
T2 - 2009 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, WICSA/ECSA 2009
Y2 - 14 September 2009 through 17 September 2009
ER -