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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Bobbio, A. Gribaudo, M. Telek, M. | 
| Copyright Year | 2008 | 
| Description | Author affiliation: Dept. of Telecommun., Budapest Univ. of Technol. & Econ., Budapest (Telek, M.) || Dipt. di Inf.., Univ. di Torino, Turin (Gribaudo, M.) || Dipt. di Inf., Univ. of Piemonte Orientale, Alessandria (Bobbio, A.) | 
| Abstract | Modeling and analysing very large stochastic systems composed of interacting entities is a very challenging and complex task. The usual approach, relying on the generation of the whole state space, is bounded by the state space explosion, even if symmetry properties, often included in the model, allow to apply lumping techniques and building the overall model by means of tensor algebra operations. In this paper we resort to the mean field theory. The main idea of the mean field theory is to focus on one particular tagged entity and to replace all interactions with the other entities with an average or effective interaction. The reduction of a multibody problem into an effective one-body problem makes the solution easier while at the same time taking into account the contribution of an averaged interdependence of the whole system on the specific entity. We apply the mean field approach to very large systems of interacting continuous time Markov chains, in which the averaged interaction depends on the distribution of the entity population in each state. We report several examples of interacting Markovian queues, showing the potentialities of the proposed technique. | 
| Starting Page | 215 | 
| Ending Page | 224 | 
| File Size | 286638 | 
| Page Count | 10 | 
| File Format | |
| ISBN | 9780769533605 | 
| DOI | 10.1109/QEST.2008.47 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2008-09-14 | 
| Publisher Place | France | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Analytical models Fluids Performance Evaluation Biological system modeling Computational modeling Continuous time Markov chain Mean field method Matrices Approximation methods Convergence | 
| Content Type | Text | 
| Resource Type | Article | 
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