{"id":"https://openalex.org/W2022535220","doi":"https://doi.org/10.1109/noms.2012.6212033","title":"New models for long-term Internet traffic forecasting using artificial neural networks and flow based information","display_name":"New models for long-term Internet traffic forecasting using artificial neural networks and flow based information","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2022535220","doi":"https://doi.org/10.1109/noms.2012.6212033","mag":"2022535220"},"language":"en","primary_location":{"id":"doi:10.1109/noms.2012.6212033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2012.6212033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Network Operations and Management Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061158438","display_name":"Melendez-Rodriguez Miguel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. L. F. Miguel","raw_affiliation_strings":["Departamento de Redes e Servi\u00e7os IP, COPEL Telecomunica\u00e7\u00f5es S.A., Curitiba, Parana, Brazil","Departamento de Redes e Servicos IP, COPEL Telecomunica\u00e7\u00f5es S.A., Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Redes e Servi\u00e7os IP, COPEL Telecomunica\u00e7\u00f5es S.A., Curitiba, Parana, Brazil","institution_ids":[]},{"raw_affiliation_string":"Departamento de Redes e Servicos IP, COPEL Telecomunica\u00e7\u00f5es S.A., Curitiba - PR, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109870653","display_name":"Manoel C. Penna","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. C. Penna","raw_affiliation_strings":["PPGIa, PUCPR, Curitiba, Parana, Brazil","PPGIa, PUCPR, Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PPGIa, PUCPR, Curitiba, Parana, Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"PPGIa, PUCPR, Curitiba - PR, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008799936","display_name":"J\u00falio C\u00e9sar Nievola","orcid":"https://orcid.org/0000-0002-2212-4499"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J. C. Nievola","raw_affiliation_strings":["PPGIa, PUCPR, Curitiba, Parana, Brazil","PPGIa, PUCPR, Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PPGIa, PUCPR, Curitiba, Parana, Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"PPGIa, PUCPR, Curitiba - PR, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060256663","display_name":"Marcelo Eduardo Pellenz","orcid":"https://orcid.org/0000-0001-6108-6272"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. E. Pellenz","raw_affiliation_strings":["PPGIa, PUCPR, Curitiba, Parana, Brazil","PPGIa, PUCPR, Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PPGIa, PUCPR, Curitiba, Parana, Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"PPGIa, PUCPR, Curitiba - PR, Brazil","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8115,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92227096,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3982","issue":null,"first_page":"1082","last_page":"1088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.8438656330108643},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7422561049461365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118545770645142},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6274334788322449},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.6072158217430115},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5782421231269836},{"id":"https://openalex.org/keywords/internet-traffic","display_name":"Internet traffic","score":0.5642361044883728},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5468490123748779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47389402985572815},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.45181044936180115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3920035660266876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37300267815589905},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14772292971611023}],"concepts":[{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.8438656330108643},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7422561049461365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118545770645142},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6274334788322449},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6072158217430115},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5782421231269836},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.5642361044883728},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5468490123748779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47389402985572815},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.45181044936180115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3920035660266876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37300267815589905},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14772292971611023},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms.2012.6212033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2012.6212033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1652305860","https://openalex.org/W1781203180","https://openalex.org/W1792912906","https://openalex.org/W1903811375","https://openalex.org/W1996102080","https://openalex.org/W2017528563","https://openalex.org/W2084175761","https://openalex.org/W2103849785","https://openalex.org/W2108537597","https://openalex.org/W2157796372","https://openalex.org/W2258222595","https://openalex.org/W2313953460","https://openalex.org/W2319719637","https://openalex.org/W2323575786","https://openalex.org/W2798058877","https://openalex.org/W4253708194","https://openalex.org/W4285719527","https://openalex.org/W6638282951"],"related_works":["https://openalex.org/W2367195528","https://openalex.org/W2163195474","https://openalex.org/W2385694529","https://openalex.org/W2129758772","https://openalex.org/W2149721642","https://openalex.org/W2373367796","https://openalex.org/W2042102941","https://openalex.org/W2352846289","https://openalex.org/W2587362999","https://openalex.org/W3182459386"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,29,34,56,59,63,68,76,85,92,99,105],"use":[4],"of":[5,7,47,70,88,98],"ensembles":[6,46],"artificial":[8,71],"neural":[9,72],"networks":[10,73],"in":[11,75],"predicting":[12],"long-term":[13],"Internet":[14,123],"traffic.":[15,124],"It":[16,37,101],"discusses":[17],"a":[18,114],"method":[19,87],"for":[20,117],"collecting":[21],"traffic":[22,41],"information":[23],"based":[24,44],"on":[25,45],"flows,":[26],"obtained":[27],"with":[28,84],"NetFlow":[30],"protocol,":[31],"to":[32],"build":[33],"time":[35],"series.":[36],"also":[38],"proposes":[39],"four":[40],"forecasting":[42],"models":[43,81,107],"TLFNs":[48],"(Time-Lagged":[49],"FeedFoward":[50],"Networks),":[51],"each":[52],"one":[53],"differing":[54],"from":[55],"others":[57],"by":[58,67,90],"way":[60],"it":[61],"reads":[62],"training":[64],"data":[65],"and":[66,110],"number":[69],"used":[74],"forecasts.":[77,100],"The":[78],"proposed":[79,106],"prediction":[80],"are":[82],"confronted":[83],"classic":[86],"Holt-Winters,":[89],"comparing":[91],"mean":[93],"absolute":[94],"percentage":[95],"error":[96],"(MAPE)":[97],"is":[102],"concluded":[103],"that":[104,121],"perform":[108],"well,":[109],"can":[111],"be":[112],"considered":[113],"good":[115],"option":[116],"planning":[118],"network":[119],"links":[120],"transport":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}