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

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书目名称Analytical and Stochastic Modeling Techniques and Applications影响因子(影响力)




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书目名称Analytical and Stochastic Modeling Techniques and Applications网络公开度学科排名




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书目名称Analytical and Stochastic Modeling Techniques and Applications被引频次学科排名




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书目名称Analytical and Stochastic Modeling Techniques and Applications读者反馈学科排名

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0302-9743 plications, ASMTA 2012, held in Grenoble, France, in June 2012.The 20 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on queueing systems; networking applications; Markov chains; stochastic modelling.978-3-642

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Distributed Autonomous Robotic Systems 3ance between them. It leads to an accurate upper bound on the maximum capacity. In order to validate our approach, results from the analytical models are compared to simulations performed with the network simulator NS-3. We take into account different traffic distributions (traffic of vehicles) and we study the impact of this traffic on capacity.

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Mika Vainio,Pekka Appelqvist,Aarne Halmehe structural constraints of the algorithm are consistent with Pagerank matrix. We present how to combine this algorithm with stochastic comparison theory to numerically obtain bounds and we prove a pre-processing of the matrix which allows to alleviate the structural constraints. The approaches are illustrated through several small examples.

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巧思

Modeling CSMA/CA in VANETance between them. It leads to an accurate upper bound on the maximum capacity. In order to validate our approach, results from the analytical models are compared to simulations performed with the network simulator NS-3. We take into account different traffic distributions (traffic of vehicles) and we study the impact of this traffic on capacity.

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Some Improvements for the Computation of the Steady-State Distribution of a Markov Chain by Monotonehe structural constraints of the algorithm are consistent with Pagerank matrix. We present how to combine this algorithm with stochastic comparison theory to numerically obtain bounds and we prove a pre-processing of the matrix which allows to alleviate the structural constraints. The approaches are illustrated through several small examples.

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Efficient Generation of PH-Distributed Random Variatestions. PH distributions have different representations and different associated computational costs for random-variate generation. In this paper we study the problem of efficient representation and efficient generation of PH distributed variates.

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