By Bruno Sericola, Telek Miklós, Gábor Horváth
This booklet constitutes the refereed court cases of the twenty first foreign convention on Analytical and Stochastic Modelling thoughts and functions, ASMTA 2014, held in Budapest, Hungary, in June/July 2014. The 18 papers offered have been rigorously reviewed and chosen from 27 submissions. The papers talk about the newest advancements in analytical, numerical and simulation algorithms for stochastic platforms, together with Markov approaches, queueing networks, stochastic Petri nets, technique algebras, video game idea, etc.
Read or Download Analytical and Stochastic Modeling Techniques and Applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30 – July 2, 2014. Proceedings PDF
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Additional resources for Analytical and Stochastic Modeling Techniques and Applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30 – July 2, 2014. Proceedings
References 1. : Analysis of large scale interacting systems by mean ﬁeld method. In: 5th International Conference on Quantitative Evaluation of Systems - QEST 2008, St. Malo (2008) 2. : Studying mobile internet technologies with agent based mean-ﬁeld models. , De Turck, K. ) ASMTA 2013. LNCS, vol. 7984, pp. 112–126. Springer, Heidelberg (2013) 3. : Traﬃc oﬄoading/onloading in multi-rat cellular networks. In: Proc. of IFIP Wireless Days Conference (WD 2013). IEEE Press (2013) 4. : Sca-1 identiﬁes the tumor-initiating cells in mammary tumors of balb-neut transgenic mice.
With values of ν above 1%, the results are increasingly indistinguishable from epidemics spreading in a single population. The multimodality of the spread over time is quite apparent. The epidemics ﬁrst reach their peak in the population in which they originated. Only after suﬃciently many individuals in the intersection are aﬀected, spreading in the other population starts, reaching its peak considerably later, even though the spreading mechanism is exactly the same in both populations and for both epidemics.
Cordero et al. 2e+07 1e+07 8e+06 6e+06 4e+06 2e+06 0 25 10 20 5 15 15 T =2 20 5 10 25 5 T =1 CSC PC1 PC2 TC 25 20 5 15 15 25 5 250000 200000 150000 100000 50000 0 25 20 5 15 15 CSC PC1 PC2 TC 30000 25000 20000 15000 10000 5000 0 25 20 5 CSC PC1 PC2 TC 4000 3500 3000 2500 2000 1500 1000 500 0 25 20 5 10 15 15 20 10 25 5 T = 18 20 5 10 15 15 20 10 25 5 T = 19 Fig. 8. Mammosphere simulation evenly spread across the space, and there is a more abrupt reduction in the concentration of non-T C cells after T = 12.
Analytical and Stochastic Modeling Techniques and Applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30 – July 2, 2014. Proceedings by Bruno Sericola, Telek Miklós, Gábor Horváth