Scipediacontent: Scipediacontent moved page Draft Content 951461135 to Rio et al 2006a

2021-02-02T00:50:01Z

Scipediacontent moved page Draft Content 951461135 to Rio et al 2006a

Scipediacontent: Created page with " == Abstract == The forecast of Internet traffic is an important issue that has received few attention from the computer networks field. By improving this task, efficient tra..."

2021-02-02T00:49:55Z

Created page with " == Abstract == The forecast of Internet traffic is an important issue that has received few attention from the computer networks field. By improving this task, efficient tra..."

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== Abstract ==

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). Engineering and Physical Sciences Research Council (EP/522885 grant). Portuguese National Conference of Rectors (CRUP)/British Council Portugal (B-53/05 grant). Nuffield Foundation (NAL/001136/A grant).

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1109/ijcnn.2006.1716452 http://dx.doi.org/10.1109/ijcnn.2006.1716452]

* [http://hdl.handle.net/1822/6581 http://hdl.handle.net/1822/6581]

* [http://repositorium.sdum.uminho.pt/bitstream/1822/6581/1/0715_mrocha.pdf http://repositorium.sdum.uminho.pt/bitstream/1822/6581/1/0715_mrocha.pdf]

* [http://xplorestaging.ieee.org/ielx5/11216/36115/01716452.pdf?arnumber=1716452 http://xplorestaging.ieee.org/ielx5/11216/36115/01716452.pdf?arnumber=1716452],
: [http://dx.doi.org/10.1109/ijcnn.2006.247142 http://dx.doi.org/10.1109/ijcnn.2006.247142]

* [https://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2006.html#CortezRRS06 https://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2006.html#CortezRRS06],
: [https://repositorium.sdum.uminho.pt/bitstream/1822/6581/1/0715_mrocha.pdf https://repositorium.sdum.uminho.pt/bitstream/1822/6581/1/0715_mrocha.pdf],
: [http://repositorium.sdum.uminho.pt/handle/1822/6581 http://repositorium.sdum.uminho.pt/handle/1822/6581],
: [http://dx.doi.org/10.1109/IJCNN.2006.247142 http://dx.doi.org/10.1109/IJCNN.2006.247142],
: [https://ieeexplore.ieee.org/document/1716452 https://ieeexplore.ieee.org/document/1716452],
: [https://doi.org/10.1109/IJCNN.2006.247142 https://doi.org/10.1109/IJCNN.2006.247142],
: [http://ieeexplore.ieee.org/document/1716452 http://ieeexplore.ieee.org/document/1716452],
: [https://academic.microsoft.com/#/detail/2017528563 https://academic.microsoft.com/#/detail/2017528563]

* [ ]

DOIS: 10.1109/ijcnn.2006.1716452 10.1109/ijcnn.2006.247142

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Rio et al 2006a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 951461135 to Rio et al 2006a

Scipediacontent: Created page with " == Abstract == The forecast of Internet traffic is an important issue that has received few attention from the computer networks field. By improving this task, efficient tra..."