Abstract
The architecture of a software system is the highest level of abstraction whereupon useful analysis of system properties is possible. Hence, performance analysis at this level can be useful for assessing whether a proposed architecture can meet the desired performance specifications and can help in making key architectural decisions. In this paper we propose an approach for performance evaluation of software systems following the layered architecture, which is a common architectural style for building software systems. Our approach initially models the system as a Discrete Time Markov Chain, and extracts parameters for constructing a closed Product Form Queueing Network model that is solved using the SHARPE software package. Our approach predicts the throughput and the average response time of the system under varying workloads and also identifies bottlenecks in the system, suggesting possibilities for their removal.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Trivedi, K.S.: Probability and Statistics with Reliability, Queuing, and Computer Science Applications. John Wiley and Sons, Chichester (2001)
Smith, C.U.: Performance Engineering of Software Systems. Addison-Wesley, Reading (1990)
Petriu, D.C., Wang, X.: From UML descriptions of High-Level Software Architectures to LQN Performance Models. In: Münch, M., Nagl, M. (eds.) AGTIVE 1999. LNCS, vol. 1779, pp. 47–63. Springer, Heidelberg (2000)
King, P., Pooley, R.: Derivation of Petri Net Performance Models from UML Specifications of Communication Software. In: Proceedings of XV UK Performance Engineering Workshop (1999)
Menascé, D.A., Gomaa, H.: A Method for design and Performance Modeling of Client/ Server Systems. IEEE Transactions on Software Engineering 26(11), 1066–1085 (2000)
Goševa–Popstojanova, K., Trivedi, K.: Architecture–based approach to reliability assessment of software systems. Performance Evaluation 45, 179–204 (2001)
Bass, L., Clements, P., Kazman, R.: Software Architecture in Practice. SEI Series in Software Engineering. Addison-Wesley, Reading (1998)
Buschmann, F., Meunier, R., Rohnert, H., Sommerlad, P., Stal, M.: Pattern-Oriented Software Architecture: A System Of Patterns, vol. 1. John Wiley and Sons, Chichester (2000)
Shaw, M., Garlan, D.: Software Architecture, Perspectives On An Emerging Discipline. Prentice-Hall Inc., Englewood Cliffs (1996)
Smith, C.U., Williams, L.G.: Software Performance Engineering: A Case Study Including Performance Comparison with Design Alternatives. IEEE Transactions On Software Engineering 19(7), 720–741 (1993)
Sahner, R.A., Trivedi, K.S., Puliafito, A.: Performance and Reliability Analysis of Computer Systems: An Example-Based approach Using the SHARPE Software Package. Kluwer Academic Publishers, Dordrecht (1996)
Petriu, D., Woodside, M.: Software Performance Models from System Scenarios in Use Case Maps. In: Field, T., Harrison, P.G., Bradley, J., Harder, U. (eds.) TOOLS 2002. LNCS, vol. 2324, p. 141. Springer, Heidelberg (2002)
Gokhale, S.S., Eric Wong, W., Trivedi, K.S., Horgan, J.R.: An Analytical Approach to Architecture-Based Software Reliability Prediction. In: IEEE Int. Comp. Perf. and Dependability Symposium, Durham, NC, USA (September 1998)
Vikram, M., Kant, P.: Evaluation of Layered Architecture Software Systems for Performance Attributes using Closed Product Form Queuing networks. B.Tech Project Report, CSE, Indian Institute of Technology Kanpur, India (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sharma, V.S., Jalote, P., Trivedi, K.S. (2005). Evaluating Performance Attributes of Layered Software Architecture. In: Heineman, G.T., Crnkovic, I., Schmidt, H.W., Stafford, J.A., Szyperski, C., Wallnau, K. (eds) Component-Based Software Engineering. CBSE 2005. Lecture Notes in Computer Science, vol 3489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424529_5
Download citation
DOI: https://doi.org/10.1007/11424529_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25877-3
Online ISBN: 978-3-540-32049-4
eBook Packages: Computer ScienceComputer Science (R0)