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Internet traffic forecasting using neural networks

Bibliographic Details
Main Author: Rocha, Miguel
Publication Date: 2006
Other Authors: Sousa, Pedro, Cortez, Paulo, Rio, Miguel
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/6581
Summary: 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).
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spelling Internet traffic forecasting using neural networksArtificial intelligenceComputer communicationsNetworksScience & TechnologyThe 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).IEEEUniversidade do MinhoRocha, MiguelSousa, PedroCortez, PauloRio, Miguel2006-072006-07-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/6581engINTERNATIONAL 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. 4942-4949.0-7803-9490-92161-4393info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T07:12:08Zoai:repositorium.sdum.uminho.pt:1822/6581Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:19:05.704278Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Internet traffic forecasting using neural networks
title Internet traffic forecasting using neural networks
spellingShingle Internet traffic forecasting using neural networks
Rocha, Miguel
Artificial intelligence
Computer communications
Networks
Science & Technology
title_short Internet traffic forecasting using neural networks
title_full Internet traffic forecasting using neural networks
title_fullStr Internet traffic forecasting using neural networks
title_full_unstemmed Internet traffic forecasting using neural networks
title_sort Internet traffic forecasting using neural networks
author Rocha, Miguel
author_facet Rocha, Miguel
Sousa, Pedro
Cortez, Paulo
Rio, Miguel
author_role author
author2 Sousa, Pedro
Cortez, Paulo
Rio, Miguel
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Rocha, Miguel
Sousa, Pedro
Cortez, Paulo
Rio, Miguel
dc.subject.por.fl_str_mv Artificial intelligence
Computer communications
Networks
Science & Technology
topic Artificial intelligence
Computer communications
Networks
Science & Technology
description 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).
publishDate 2006
dc.date.none.fl_str_mv 2006-07
2006-07-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/6581
url http://hdl.handle.net/1822/6581
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 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.
0-7803-9490-9
2161-4393
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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