Published September 25, 2017
| Version v1
Conference paper
The Class of Semi-Markov Accumulation Processes
Creators
Contributors
Others:
- Network Engineering and Operations (NEO ) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
- Université de Lausanne = University of Lausanne (UNIL)
- Tuan Phung-Duc
- Ioannis Dimitriou
- Eleni Vatamidou
- ANR-12-MONU-0019,MARMOTE,Outils et environnements de modélisation markovienne(2012)
Description
In this paper, we introduce a new accumulation process, the Semi-Markov Accumulation Process (SMAP). This class of processes extends the framework of continuous-time Markov Additive Processes (MAPs) by allowing the underlying environmental component to be a semi-Markov process instead of a Markov process. Next, we follow an analytic approach to derive a Master Equation formula of the Renewal type that describes the evolution of SMAPs in time. We show that under exponential holding times, a matrix exponential form analogous to the matrix exponent of a MAP is attained. Finally, we consider an application of our results where closed-form solutions are rather easy to achieve.
Abstract
In conjunction with the 15th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2017)Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-01645122
- URN
- urn:oai:HAL:hal-01645122v1
Origin repository
- Origin repository
- UNICA