Fluid Flow Approximation of PEPA models
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
A Generic Mean Field Convergence Result for Systems of Interacting Objects
QEST '07 Proceedings of the Fourth International Conference on Quantitative Evaluation of Systems
Analysis of On-off policies in Sensor Networks Using Interacting Markovian Agents
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Analysis of Large Scale Interacting Systems by Mean Field Method
QEST '08 Proceedings of the 2008 Fifth International Conference on Quantitative Evaluation of Systems
Comparison of the mean-field approach and simulation in a peer-to-peer botnet case study
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
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The necessity of studying sensor networks, rich internet applications, social networks and molecular biology have raised the need of being able to consider systems composed by very large population of similar objects. This lead to the development of new modelling paradigms, such as Fluid Process Algebra, Mean Field analysis and Markovian Agents. These methodologies produces exact results if the number of considered objects goes to the infinity, but provide reasonable approximations even for finite quantities. In this work Mean Field analysis and Markovian Agents models will be presented.