Abstract
Epidemic algorithms can propagate information in a large scale network, that changes arbitrarily, in a self-organizing way. This type of spreading process allows rapid dissemination of information to all network nodes. However, the dynamics of epidemic algorithms can be strongly influenced by the network topology. In this paper, numerical simulations are used to illustrate such influences. We address networks with simple topologies for simplicity and in order to isolate other effects that occur in more complex networks.
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Acosta-Elías, J., Pineda, U., Luna-Rivera, J.M., Stevens-Navarro, E., Campos-Canton, I., Navarro-Moldes, L. (2004). The Effects of Network Topology on Epidemic Algorithms. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_19
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DOI: https://doi.org/10.1007/978-3-540-24768-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22060-2
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