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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 462801, 10 pages
Research Article

Epidemic Random Network Simulations in a Distributed Computing Environment

1Centro de Estudios Superiores Felipe II, Aranjuez, 28300 Madrid, Spain
2Instituto de Matemática Multidisciplinar, Edificio 8G 2° Floor, Universitat Politècnica de Valéncia, 46022 Valencia, Spain

Received 4 June 2013; Revised 23 July 2013; Accepted 17 September 2013

Academic Editor: Benito Chen-Charpentier

Copyright © 2013 J. Villanueva-Oller et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We discuss a computational system following the paradigm of distributed computing, which will allow us to simulate the epidemic propagation in random networks with large number of nodes up to one million. This paradigm consists of a server that delivers tasks to be carried out by client computers. When the task is finished, the client sends the obtained results to the server to be stored until all tasks are finished and then ready to be analysed. Finally, we show that this technique allows us to disclose the emergence of seasonal patterns in the respiratory syncytial virus transmission dynamics which do not appear neither in smaller systems nor in continuous systems.