Titlebook: Analytical and Stochastic Modeling Techniques and Applications; 19th International C Khalid Al-Begain,Dieter Fiems,Jean-Marc Vincent Confer

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Distributed Autonomous Robotic Systems 5theoretical capacity. In particular, we study spatial versions of such models which lead to a linear diffusion equation with Robin type boundary conditions under scaling. Explicit solutions are obtained by considering reflected Brownian motion.

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Andrzej Kasiński,Piotr Skrzypczyńskiic bounds as introduced by Cruz, which we extend to handle branching-type processes. The paper provides both qualitative and quantitative results and introduces various applications of (max-plus) branching processes in queueing theory.

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James Jennings,Chris Kirkwood-Wattsa mathematical method based on stochastic comparisons in other to prove that our scheme provides better performance measures. We illustrate these proofs by numerical results in order to show the relevance of our mechanism to improve QoS of mobile networks.

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Controlling Variability in Split-Merge Systemssamples taken from the same distribution. Secondly, we extend our model to incorporate deterministic delays applied to the processing of subtasks. Finally, we present an optimisation scheme to find that vector of delays which minimises a given percentile of the range of arrival times of subtasks in