Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/6581
Título: | Internet traffic forecasting using neural networks |
Autor(es): | Rocha, Miguel Sousa, Pedro Cortez, Paulo Rio, Miguel |
Palavras-chave: | Artificial intelligence Computer communications Networks |
Data: | Jul-2006 |
Editora: | IEEE |
Revista: | IEEE International Joint Conference on Neural Networks (IJCNN) |
Citação: | INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, Vancouver, BC, Canada, 2006 – “IJCNN 2006 : proceedings of the International Joint Conference on Neural Networks”. [S.l.] : IEEE, 2006. ISBN 0-7803-9490-9. p. 4942-4949. |
Resumo(s): | The forecast of Internet traffic is an important issue that has received few attention from the computer networks field. By improving this task, efficient traffic engineering and anomaly detection tools can be created, resulting in economic gains from better resource management. This paper presents a Neural Network Ensemble (NNE) for the prediction of TCP/IP traffic using a Time Series Forecasting (TSF) point of view. Several experiments were devised by considering real-world data from two large Internet Service Providers. In addition, different time scales (e.g. every five minutes and hourly) and forecasting horizons were analyzed. Overall, the NNE approach is competitive when compared with other TSF methods (e.g. Holt-Winters and ARIMA). |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/6581 |
ISBN: | 0-7803-9490-9 |
ISSN: | 2161-4393 |
Acesso: | Acesso aberto |
Aparece nas coleções: | DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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0715_mrocha.pdf | Documento principal | 418,27 kB | Adobe PDF | Ver/Abrir |