TY - JOUR A2 - Chen-Charpentier, Benito AU - Villanueva-Oller, J. AU - Acedo, L. AU - Moraño, J. A. AU - Sánchez-Sánchez, A. PY - 2013 DA - 2013/10/03 TI - Epidemic Random Network Simulations in a Distributed Computing Environment SP - 462801 VL - 2013 AB - 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 transmissiondynamics which do not appear neither in smaller systems nor in continuous systems. SN - 1085-3375 UR - https://doi.org/10.1155/2013/462801 DO - 10.1155/2013/462801 JF - Abstract and Applied Analysis PB - Hindawi Publishing Corporation KW - ER -