Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/43556

Título:

The jamming constant of uniform random graphs

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Autor:

Bermolen, Paola
Jonckheere, Matthieu
Moyal, Pascal

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Tipo de documento:

Preprint

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Palabras clave:

Random graph;
Configuration model
Parking process
Measure-valued Markov process
Hydrodynamic limit

Descriptores:

Telecomunicaciones

Año de publicación:

2017

Contenido:

Resumen:

By constructing jointly a random graph and an associated exploration process, we define the dynamics of a “parking process” on a class of uniform random graphs as a measure-valued Markov process, representing the empirical degree distribution of non-explored nodes. We then establish a functional law of large numbers for this process as the number of vertices grows to infinity, allowing us to assess the jamming constant of the considered random graphs, i.e. the size of the maximal independent set discovered by the exploration algorithm. This technique, which can be applied to any uniform random graph with a given–possibly unbounded–degree distribution, can be seen as a generalization in the space of measures, of the differential equation method introduced by Wormald

Descripción:

Artículo publicado en Stochastic Processes and their Applications, v.127, no. 7, 2017, pp. 2138-2178

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Citación:

Bermolen, P, Jonckheere, M, Moyal, P. "The jamming constant of uniform random graphs" [Preprint] Publicado en: Stochastic Processes and their Applications, v.127, no. 7, 2017, pp. 2138-2178. https://doi.org/10.1016/j.spa.2016.10.005

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Departamento académico:

Telecomunicaciones

Grupo de investigación:

Análisis de Redes, Tráfico y Estadísticas de Servicios

Licencia:

Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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