Summary
Enterprise architecture is concerned with a description of all the relevant elements that make up an enterprise and how these elements inter-relate. It covers aspects ranging from the technical infrastructure, through software applications, to business processes and products. The relations between these layers play a central role. Also from a quantitative analysis perspective, the layers are interrelated: the higher layers impose a workload on the lower layers, while the performance characteristics of the lower layers directly influence the performance of the higher layers. This paper presents an approach for quantitative analysis of layered, service-based enterprise architecture models, which consists of two phases: a ‘top-down’ propagation of workload parameters, and a ‘bottom-up’ propagation of performance or cost measures. By means of an example we demonstrate the application of the approach, and show that a seamless integration with other performance analysis methods (e.g., queueing analysis) can be achieved.
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References
ArchiMate Project. http://archimate.telin.nl.
BiZZdesign B.V. http://www.bizzdesign.nl.
J. Bosch and H. Grahn. Characterising the performance of three architectural styles. In Proceedings First International Workshop on Software and Performance, Santa Fe, NM, Oct. 1998.
Business Process Management Initiative. Business process modeling notation. working draft (1.0), Aug. 2003.
A. Di Marco and P. Inverardi. Compositional generation of software architecture performance QN models. In J. Magee, C. Szyperski, and J. Bosch, editors, Proceedings Fourth Working IEEE/IFIP Conference on Software Architecture, pages 37–46, Oslo, Norway, June 2004.
P. Harrison and N. Patel. Performance Modelling of Communication Networks and Computer Architectures. Addison-Wesley, 1992.
U. Herzog. Formal methods for performance evaluation. In Lectures on Formal Methods and Performance Analysis: First EEF/Euro Summer School on Trends in Computer Science (LNCS 2090), pages 1–37. Springe Verlag, 2001.
M.-E. Iacob and H. Jonkers. Quantitative analysis of enterprise architectures. Technical Report ArchiMate D3.5b, Telematica Instituut, Enschede, the Netherlands, Mar. 2004.
IEEE Computer Society. IEEE standard 1471-2000: Recommended practice for architectural description of software-intensive systems, 2000.
H. Jonkers, P. Boekhoudt, M. Rougoor, and E. Wierstra. Completion time and critical path analysis for the optimisation of business process models. In M. Obaidat, A. Nisanci, and B. Sadoun, editors, Proceedings of the 1999 Summer Computer Simulation Conference, pages 222–229, Chicago, IL, July 1999.
H. Jonkers, M. Lankhorst, R. van Buuren, S. Hoppenbrouwers, M. Bonsangue, and L. van der Torre. Concepts for modelling enterprise architectures. International Journal of Cooperative Information Systems, 13(3), Sept. 2004.
H. Jonkers and M. van Swelm. Queueing analysis to support distributed system design. In Proceedings of the 1999 Symposium on Performance Evaluation of Computer and Telecommunication Systems, pages 300–307, Chicago, IL, July 1999. M.S. Obaidat and M. Ajmone Marsan.
R. Kazman, L. Bass, G. Abowd, and M. Webb. SAAM: A method for analyzing the properties of software architectures. In Proceedings 16th International Conference on Software Engineering, pages 81–90, Sorento, Italy, 1994.
C.-H. Lung, A. Jalnapurkar, and A. El-Rayess. Performance-oriented software architecture analysis: An experience report. In Proceedings First International Workshop on Software and Performance, Santa Fe, NM, Oct. 1998.
A. Schömig and H. Rau. A petri net approach for the performance analysis of business processes. Technical Report 116, Lehrstuhl für Informatik III, Universität Würzburg, 1995.
K. Scott. Fast Track UML 2.0. Apress, 2004.
C. Smith. Performance Engineering of Software Systems. Addison-Wesley, 1990.
B. Spitznagel and D. Garlan. Architecture-based performance analysis. In Proceedings 1998 Conference on Software Engineering and Knowledge Engineering, San Francisco Bay, June 1998.
R. van Buuren, H. Jonkers, M.-E. Iacob, and P. Strating. Composition of relations in enterprise architcture models. In H. Ehrig, G. Engels, F. Parisi-Presicce, and G. Rozenberg, editors, Graph Transformations — Proceedings of the Second International Conference (LNCS 3256), pages 39–53, Rome, Italy, Sept. 2004.
D. van Leeuwen, H. ter Doest, and M. Lankhorst. A tool integration workbench for enterprise architecture. In Proceedings 6th International Conference on Enterprise Information Systems, Porto, Portugal, Apr. 2004.
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© 2006 Springer-Verlag London Limited
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Iacob, ME., Jonkers, H. (2006). Quantitative Analysis of Enterprise Architectures. In: Konstantas, D., Bourrières, JP., Léonard, M., Boudjlida, N. (eds) Interoperability of Enterprise Software and Applications. Springer, London. https://doi.org/10.1007/1-84628-152-0_22
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DOI: https://doi.org/10.1007/1-84628-152-0_22
Publisher Name: Springer, London
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