Epidemic Random Network Simulations in a Distributed Computing Environment
Joint Authors
Villanueva-Oller, J.
Acedo, L.
Moraño, J. A.
Sánchez-Sánchez, A.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Villanueva-Oller, J.& Acedo, L.& Moraño, J. A.& Sánchez-Sánchez, A.. 2013. Epidemic Random Network Simulations in a Distributed Computing Environment. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-473506
Modern Language Association (MLA)
Villanueva-Oller, J.…[et al.]. Epidemic Random Network Simulations in a Distributed Computing Environment. Abstract and Applied Analysis No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-473506
American Medical Association (AMA)
Villanueva-Oller, J.& Acedo, L.& Moraño, J. A.& Sánchez-Sánchez, A.. Epidemic Random Network Simulations in a Distributed Computing Environment. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-473506
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473506