Analytical evaluation of the performance of contact-Based messaging applications
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Otros documentos de la autoría: Hernández-Orallo, Enrique; murillo arcila, marina; Calafate, Carlos; Cano, Juan Carlos; Conejero, J. Alberto; Manzoni, Pietro
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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Título
Analytical evaluation of the performance of contact-Based messaging applicationsAutoría
Fecha de publicación
2016Editor
ElsevierISSN
1389-1286Cita bibliográfica
HERNÁNDEZ-ORALLO, Enrique, et al. Analytical evaluation of the performance of contact-Based messaging applications. Computer Networks, 2016, vol. 111, p. 45-54.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S1389128616302353Versión
info:eu-repo/semantics/sumittedVersionPalabras clave / Materias
Resumen
Communications in mobile opportunistic networks, instead of using the Internet infrastructure, take place upon the establishment of ephemeral contacts among mobile nodes using direct communication. In this paper, we ... [+]
Communications in mobile opportunistic networks, instead of using the Internet infrastructure, take place upon the establishment of ephemeral contacts among mobile nodes using direct communication. In this paper, we analytically model the performance of mobile opportunistic networks for contact-based messaging applications in city squares or gathering points, a key challenging topic that is required for the effective design of novel services. We take into account several social aspects such as: the density of people, the dynamic of people arriving and leaving a place, the size of the messages and the duration of the contacts. We base our models on Population Processes, an approach commonly used to represent the dynamics of biological populations. We study their stable equilibrium points and obtain analytical expressions for their resolution.
The evaluations performed show that these models can reproduce the dynamics of message diffusion applications. We demonstrate that when the density of people increases, the effectiveness of the diffusion is improved. Regarding the arrival and departure of people, their impact is more relevant when the density of people is low. Finally, we prove that for large message sizes the effectiveness of the epidemic diffusion is reduced, and novel diffusion protocols should be considered. [-]
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Computer Networks, 2016, vol. 111Derechos de acceso
© 2016 Elsevier B.V. All rights reserved.
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