Download Computer Performance Engineering: 5th European Performance by Boudewijn R. Haverkort (auth.), Nigel Thomas, Carlos Juiz PDF

By Boudewijn R. Haverkort (auth.), Nigel Thomas, Carlos Juiz (eds.)

This e-book constitutes the complaints of the 5th ecu functionality Engineering Workshop, EPEW 2008, held in Palma de Mallorca, Spain, in September 24-25, 2008.

The 17 papers provided during this quantity, including abstracts of two invited papers, have been rigorously reviewed and chosen from 39 submissions. the subjects coated are software program functionality engineering; stochastic method algebra and SANs; functionality question specification and dimension; computing device and communications networks; queueing concept and Markov chains; and purposes.

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Read or Download Computer Performance Engineering: 5th European Performance Engineering Workshop, EPEW 2008, Palma de Mallorca, Spain, September 24-25, 2008. Proceedings PDF

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Extra resources for Computer Performance Engineering: 5th European Performance Engineering Workshop, EPEW 2008, Palma de Mallorca, Spain, September 24-25, 2008. Proceedings

Example text

J. : Stochastic Processes and Filtering Theory. : Applied Linear Statistical Models, 5th edn. : Design-Level Performance Prediction of ComponentBased Applications. IEEE Trans. on Software Eng. : The Paradyn Parallel Performance Measurement Tool. : The Operational Profile in Software Reliability Engineering: An Overview. : Prediction of Run-Time Resource Consumption in Multi-task Component-Based Software Systems. In: Proc. 7th Int. Symp. : Performance Solutions. : The Stochastic Rendezvous Network Model for Performance of Synchronous Client-Server-Like Distributed Software.

In the former case the test driver A Calibration Framework for Software Performance Models 45 was modeled to compensate for its influence, not because it loaded the system up,but because the load generator was strongly influenced by pushback from the server. In both cases the resulting model gave response time predictions for conditions different from the test, accurate within a few percent. g. for scalability analysis), and to optimizing the configurations for different customers. Future research can examine the impact of usage profiles on parameter accuracy (especially with several classes of workload and many parameters), models that apply across multiple alternative usage profiles, the best choice of model structure when there are several candidates, and the choice of measurements when there are many parameters.

While we used mediumsized, self-designed systems for the tasks, we modelled these system designs and the design alternatives after typical distributed systems and commonly known performance patterns [21], which are representative for the systems usually analysed in this area. We tried to increase the external validity of our study by letting the participants analyse two different systems, so that differences in the results could be traced back to Investigation of the Applicability of a CBSPE Methods 29 the systems, and not the prediction methods.

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