By Jean-Michel Fourneau, Leïla Kloul (auth.), András Horváth, Miklós Telek (eds.)
The notion to set up a eu discussion board for educational and commercial researchers engaged on a number of elements of functionality modeling and research of manuf- toring and data platforms gave upward thrust to an annual sequence of workshops, - ferred to as eu functionality Engineering Workshop (EPEW). The ?rst EPEW workshops have been held in Toledo, Spain, October 1-2, 2004, and V- sailles,France,September 1-3,2005.Thisvolumecontainstheproceedingsofthe 3rd EPEW workshop held on the Technical college of Budapest, Budapest, Hungary, June 21-22, 2006. those complaints include the sixteen accredited contributed papers of EPEW 2006.Toensurethehigh-qualityevaluationofthesubmittedpapersweextended the ProgramCommittee of EPEW 2006with foreign specialists from worldwide. every one submitted papers went via a rigorous evaluation via at the very least 3 foreign reviewers. in accordance with the reports, the following discussions ofreviewerswithdi?erentjudgementandanInternet-basedProgramCommittee assembly hung on March 30, 2006, we chosen forty% of the submitted papers. We hence owe unique due to all participants of this system Committee and to all exterior referees for the wonderful paintings they did for the right kind review of the papers. The ?nal workshop application, in addition to this quantity, are made from ?ve thematic classes: – Stochastic procedure algebra – Workloads and benchmarks – concept of stochastic techniques – Formal dependability and function evaluate – Queues, thought and perform those periods disguise a variety of functionality evaluate tools and c- pose an outline of the present examine instructions in functionality evaluation.
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Additional info for Formal Methods and Stochastic Models for Performance Evaluation: Third European Performance Engineering Workshop, EPEW 2006, Budapest, Hungary, June 21-22, 2006. Proceedings
J. Hillston, A Compositional Approach to Performance Modelling, vol. 12 of Distinguished Dissertations in Computer Science. Cambridge University Press, 1996. 8. M. Bernardo and R. Gorrieri, “Extended Markovian Process Algebra,” in CONCUR’96, Proceedings of the 7th International Conference on Concurrency Theory (U. Montanari and V. ), vol. 1119 of Lecture Notes in Computer Science, pp. 315–330, Springer-Verlag, Pisa, August 1996. 9. T. Ayles, A. J. Field, and J. N. Magee, “Adding performance evaluation to the LTSA tool,” in Proceedings of 13th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools, 2003.
Transient-state function, Transient (R) : IR+ → prob. A transient-state measure over a probe R returns the transient-state distribution function for having just completed the probe stop action at time t, having completed a probe start action at time, t = 0. It is deﬁned as follows, again using the steady-state vector to weight the multiple start states that might arise from the stochastic probe: π(x) IP(Z(t) ∈ G(R) | Z(0) = x) Transient (R) = λt . (7) x∈F (R) Component count function, Number (C) : IR+ → IR+ .
This represents a type of HTTP conditional request, without greatly increasing the size of the model. RSS Server Finally, a simple network model keeps track of limited bandwidth by capping the total number of connections within a given network window to NN . The duration of the network window is governed by the net recover action and the γ parameter. RSS Network 1 + (unsubscribe. 1 43 Functional Performance Queries We present some questions and analysis of the RSS model in the functional performance speciﬁcation style: Steady-state query.