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Epidemic Random Network Simulations in a Distributed Computing Environment

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Epidemic Random Network Simulations in a Distributed Computing Environment

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dc.contributor.author Villanueva-Oller, J. es_ES
dc.contributor.author Acedo Rodríguez, Luis es_ES
dc.contributor.author Moraño Fernández, José Antonio es_ES
dc.contributor.author Sánchez Sánchez, A. es_ES
dc.date.accessioned 2015-06-08T11:27:52Z
dc.date.available 2015-06-08T11:27:52Z
dc.date.issued 2013-09-17
dc.identifier.issn 1085-3375
dc.identifier.uri http://hdl.handle.net/10251/51392
dc.description.abstract 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. es_ES
dc.description.sponsorship This paper has been supported by the Grant from the Universitat Politecnica de Valencia PAID-06-11 ref: 2087 and the Grant FIS PI-10/01433. The authors would like to thank the staff of the Facultad de Administracion de Empresas of the Universidad Politecnica de Valencia, in particular Mara Angeles Herrera, Teresa Solaz, and Jose Luis Real, and the staff of the CES Felipe II of Aranjuez for their help and for letting them use free computer rooms to carry out the Sisifo computations described in this paper. They would also like to acknowledge the BOINC community for its support and the many anonymous volunteers who joined thier project and helped them obtain the results so fast. en_EN
dc.language Inglés es_ES
dc.publisher Hindawi Publishing Corporation es_ES
dc.relation Universitat Politècnica de València PAID-06-11 ref: 2087 es_ES
dc.relation FIS PI-10/01433 es_ES
dc.relation.ispartof Abstract and Applied Analysis es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Respiratory syncytial virus es_ES
dc.subject Large social network es_ES
dc.subject Infectious-diseases es_ES
dc.subject Modeling epidemics es_ES
dc.subject Dynamics es_ES
dc.subject Rsv es_ES
dc.subject Transmission es_ES
dc.subject Influenza es_ES
dc.subject Smallpox es_ES
dc.subject Children es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Epidemic Random Network Simulations in a Distributed Computing Environment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2013/462801
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Villanueva-Oller, J.; Acedo Rodríguez, L.; Moraño Fernández, JA.; Sánchez Sánchez, A. (2013). Epidemic Random Network Simulations in a Distributed Computing Environment. Abstract and Applied Analysis. 2013:1-10. doi:10.1155/2013/462801 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1155/2013/462801 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2013 es_ES
dc.relation.senia 249248
dc.identifier.eissn 1687-0409


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