Abstract
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.
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Gribaudo, M. (2009). Analysis of Large Populations of Interacting Objects with Mean Field and Markovian Agents. In: Bradley, J.T. (eds) Computer Performance Engineering. EPEW 2009. Lecture Notes in Computer Science, vol 5652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02924-0_18
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DOI: https://doi.org/10.1007/978-3-642-02924-0_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02923-3
Online ISBN: 978-3-642-02924-0
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