Forecasting Internet traffic by Neural Networks under univariate and multivariate strategies
By improving Internet traffic forecasting, more efficient TCP/IP traffic control and anomaly detection tools can be developed, leading to economic gains due to better resource management. In this paper, Neural Networks (NNs) are used to predict TCP/IP traffic for 39 links of the UK education and res...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2008
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/8027 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/8027 |