Conference
Optimizing distributed DEVS simulations with partitioning and Hidden Markov Model learning methods
| العنوان: | Optimizing distributed DEVS simulations with partitioning and Hidden Markov Model learning methods |
|---|---|
| المؤلفون: | Herbez, Christopher, Ramat, Eric, Quesnel, Gauthier |
| المساهمون: | Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC), Université du Littoral Côte d'Opale (ULCO), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), ESM. |
| المصدر: | Proceedings of the 29th European Simulation and Modelling Conference (ESM'2015) ; 29th European Simulation and Modelling Conference - ESM'2015 ; https://hal.science/hal-01604197 ; 29th European Simulation and Modelling Conference - ESM'2015, ESM., Oct 2015, Leicester, United Kingdom. 8 p |
| بيانات النشر: | HAL CCSD EUROSIS-ETI |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Graph weighting, Partition, Hidden Markov models, Simulation, DEVS, [SDV]Life Sciences [q-bio] |
| جغرافية الموضوع: | United Kingdom |
| Time: | Leicester, United Kingdom |
| الوصف: | With the emergence of parallel computational infrastructures at low cost, reducing simulation time becomes again an issue of the research community in modeling and simulation. In this context, our previous papers presented a method to reduce the simulation time in a parallel DEVS context. This approach reduces simulation time without reaching the maximum gain. The partitioning method used does not take into account the dynamic of models. To address this problem, we propose in this paper an approach to weight the model graph to take into account this dynamic when partitioning. This paper presents the weighting graph process by learning of the dynamic of models states using Hidden Markov Models. The purpose of this article is to determine the quality of this weighting method compared to a simulation approach. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| ردمك: | 978-90-77381-90-8 90-77381-90-2 |
| Relation: | hal-01604197; https://hal.science/hal-01604197; https://hal.science/hal-01604197/document; https://hal.science/hal-01604197/file/2015-03_1.pdf; PRODINRA: 407251 |
| الاتاحة: | https://hal.science/hal-01604197 https://hal.science/hal-01604197/document https://hal.science/hal-01604197/file/2015-03_1.pdf |
| Rights: | http://creativecommons.org/licenses/by-sa/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.73D1852A |
| قاعدة البيانات: | BASE |
| ردمك: | 9789077381908 9077381902 |
|---|