By Isi Mitrani (auth.), Mirco Tribastone, Stephen Gilmore (eds.)
This e-book constitutes the refereed post-proceedings of the ninth eu functionality Engineering Workshop, EPEW 2012, held in Munich, Germany, and the twenty eighth united kingdom functionality Engineering Workshop, UKPEW 2012, held in Edinburgh, united kingdom, in July 2012. The 15 standard papers and one poster presentation paper awarded including 2 invited talks have been rigorously reviewed and chosen from a variety of submissions. The papers conceal a variety of subject matters from classical functionality modeling components akin to instant community protocols and parallel execution of clinical codes to scorching subject matters comparable to energy-aware computing to unforeseen ventures into score expert tennis gamers. as well as new case reviews, the papers additionally current new strategies for facing the modeling demanding situations led to via the expanding complexity and scale of platforms today.
Read Online or Download Computer Performance Engineering: 9th European Workshop, EPEW 2012, Munich, Germany, July 30, 2012, and 28th UK Workshop, UKPEW 2012, Edinburgh, UK, July 2, 2012, Revised Selected Papers PDF
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Extra resources for Computer Performance Engineering: 9th European Workshop, EPEW 2012, Munich, Germany, July 30, 2012, and 28th UK Workshop, UKPEW 2012, Edinburgh, UK, July 2, 2012, Revised Selected Papers
Normal and inhomogeneous moment closures for stochastic process algebras. In: 10th Workshop on Process Algebra and Stochastically Timed Activities (PASTA 2011), Ragusa (2011) 14. : On a Formula for the Product-Moment Coeﬃcient of any Order of a Normal Frequency Distribution in any Number of Variables. Biometrika 12(1/2), 134–139 (1918) 15. : Mean-Field Analysis of Markov Models with Reward Feedback. -M. ) ASMTA 2012. LNCS, vol. 7314, pp. 193–211. Springer, Heidelberg (2012) 16. : A new tool for the performance analysis of massively parallel computer systems.
Such rates depend on how we group simple processes together. The semantics of the cooperation is the exactly was is needed to correctly interpret product-form solutions. In this work we are not concerned about numerical or analytical methods for solution equations in the form of 1. Such methods can be found in . 5 Product-Form Solutions for Biological Systems As stated in the introduction, product-form solutions have been mostly used in queueing theory. There has been a recent interest in product-form solution for biological system [15,1].
As an example, in the pheromone model we say that the simulation sample averages of mean and distance squared have converged if the relative half-width of the 95% conﬁdence interval is < 1% at any point in time. To achieve this, the simulation of this model requires about 125k sample traces. The other two models require even more replications. We also noticed that small parameter changes in some models can heavily impact the convergence behaviour of the accurate simulation. 5 Computation of Error To evaluate accuracy of the diﬀerent closures we compute population moments in each of the 3 models above, trying a large number of parameter conﬁgurations.