Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4954810 | Computer Networks | 2016 | 10 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Enrique Hernández-Orallo, Marina Murillo-Arcila, Carlos T. Calafate, Juan Carlos Cano, J. Alberto Conejero, Pietro Manzoni,