{"id":"https://openalex.org/W2858629302","doi":"https://doi.org/10.1109/noms.2018.8406252","title":"A network traffic flow prediction with deep learning approach for large-scale metropolitan area network","display_name":"A network traffic flow prediction with deep learning approach for large-scale metropolitan area network","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2858629302","doi":"https://doi.org/10.1109/noms.2018.8406252","mag":"2858629302"},"language":"en","primary_location":{"id":"doi:10.1109/noms.2018.8406252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2018.8406252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"},"type":"article","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/A5100435187","display_name":"Weitao Wang","orcid":"https://orcid.org/0009-0006-3425-7172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593747","display_name":"Yuebin Bai","orcid":"https://orcid.org/0000-0002-9601-257X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuebin Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074681163","display_name":"Chao Yu","orcid":"https://orcid.org/0000-0002-4371-3663"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083899906","display_name":"Yuhao Gu","orcid":"https://orcid.org/0000-0002-0440-3494"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Gu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089698297","display_name":"Peng Feng","orcid":"https://orcid.org/0000-0001-8486-7055"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Feng","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411603","display_name":"Xiaojing Wang","orcid":"https://orcid.org/0000-0002-7585-6319"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100431435","display_name":"Rui Wang","orcid":"https://orcid.org/0009-0004-5900-605X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4957,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.91692123,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717034220695496},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6489362120628357},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6374465227127075},{"id":"https://openalex.org/keywords/internet-traffic","display_name":"Internet traffic","score":0.5602406859397888},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5404120683670044},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.46032893657684326},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4555562138557434},{"id":"https://openalex.org/keywords/traffic-shaping","display_name":"Traffic shaping","score":0.4443443715572357},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44328999519348145},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.44125938415527344},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.4261965751647949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4010700583457947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3604169487953186},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.2031431794166565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14515355229377747},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08382576704025269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717034220695496},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6489362120628357},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6374465227127075},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.5602406859397888},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5404120683670044},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.46032893657684326},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4555562138557434},{"id":"https://openalex.org/C46451311","wikidata":"https://www.wikidata.org/wiki/Q262550","display_name":"Traffic shaping","level":4,"score":0.4443443715572357},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44328999519348145},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.44125938415527344},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.4261965751647949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4010700583457947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3604169487953186},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.2031431794166565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14515355229377747},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08382576704025269},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms.2018.8406252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2018.8406252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324887","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W68246004","https://openalex.org/W613760533","https://openalex.org/W626441390","https://openalex.org/W1496648701","https://openalex.org/W1498436455","https://openalex.org/W1558017207","https://openalex.org/W1827297289","https://openalex.org/W1973943669","https://openalex.org/W1982606801","https://openalex.org/W1984969638","https://openalex.org/W2018569350","https://openalex.org/W2023678444","https://openalex.org/W2027392238","https://openalex.org/W2036109700","https://openalex.org/W2036785686","https://openalex.org/W2044922399","https://openalex.org/W2055781590","https://openalex.org/W2066377449","https://openalex.org/W2072128103","https://openalex.org/W2073121023","https://openalex.org/W2077537883","https://openalex.org/W2090192376","https://openalex.org/W2093134417","https://openalex.org/W2097498150","https://openalex.org/W2100495367","https://openalex.org/W2102090846","https://openalex.org/W2105818147","https://openalex.org/W2108196201","https://openalex.org/W2109574129","https://openalex.org/W2110750681","https://openalex.org/W2110798204","https://openalex.org/W2117130368","https://openalex.org/W2124776405","https://openalex.org/W2131819535","https://openalex.org/W2136922672","https://openalex.org/W2139606794","https://openalex.org/W2145039203","https://openalex.org/W2145094598","https://openalex.org/W2160299137","https://openalex.org/W2165991108","https://openalex.org/W2171234954","https://openalex.org/W2186683621","https://openalex.org/W2953301748","https://openalex.org/W2963095109","https://openalex.org/W2997574889","https://openalex.org/W4231109964","https://openalex.org/W4236369288","https://openalex.org/W6602775581","https://openalex.org/W6619978402","https://openalex.org/W6676481782","https://openalex.org/W6676711545","https://openalex.org/W6678851513","https://openalex.org/W6681096077","https://openalex.org/W6686934925"],"related_works":["https://openalex.org/W2490010379","https://openalex.org/W2114472740","https://openalex.org/W2374980776","https://openalex.org/W2138225277","https://openalex.org/W2060036720","https://openalex.org/W2748549804","https://openalex.org/W2152047011","https://openalex.org/W1855129033","https://openalex.org/W2380709786","https://openalex.org/W2746187942"],"abstract_inverted_index":{"Accurate":[0],"and":[1,19,33,54,104,108,129],"timely":[2],"internet":[3,27,69,91,109,125],"traffic":[4,44,51,70,81,92,126,145,161],"information":[5],"is":[6,97,120,131,154],"important":[7],"for":[8,58,144],"many":[9,59],"applications,":[10],"such":[11],"as":[12,157],"bandwidth":[13,179],"allocation,":[14],"anomaly":[15],"detection,":[16],"congestion":[17],"control":[18],"admission":[20],"control.":[21],"Over":[22],"the":[23,38,68,102,142,160,169,177],"last":[24],"few":[25],"years,":[26],"flow":[28,45,71,93,110,127,146],"data":[29,111],"have":[30,35],"been":[31],"exploding,":[32],"we":[34,86],"truly":[36],"entered":[37],"era":[39],"of":[40,159,168],"big":[41,80],"data.":[42,82],"Existing":[43],"prediction":[46,52,72,94,117,147,152],"methods":[47],"mainly":[48],"use":[49],"simple":[50],"models":[53,78],"are":[55],"still":[56],"unsatisfying":[57],"real-world":[60],"applications.":[61],"This":[62],"situation":[63],"inspires":[64],"us":[65],"to":[66,122],"rethink":[67],"problem":[73],"based":[74],"on":[75],"deep":[76],"architecture":[77],"with":[79],"In":[83],"this":[84],"paper,":[85],"propose":[87],"a":[88,134],"novel":[89],"deep-learning-based":[90],"method,":[95],"which":[96],"called":[98],"SDAPM.":[99],"It":[100],"consider":[101],"spatial":[103],"temporal":[105],"correlations":[106],"inherently":[107],"character.":[112],"A":[113],"stacked":[114],"denoising":[115],"autoencoder":[116],"model":[118,153],"(SDA)":[119],"used":[121],"learn":[123],"generic":[124],"features,":[128],"it":[130],"trained":[132],"in":[133,155,173],"greedy":[135],"layer-wise":[136],"fashion.":[137],"Moreover,":[138],"experiments":[139],"demonstrate":[140],"that":[141],"SDAPM":[143],"has":[148],"effective":[149],"performance.":[150],"Our":[151],"production":[156],"part":[158],"scheduling":[162],"system":[163],"at":[164],"China":[165],"Unicom,":[166],"one":[167],"largest":[170],"Internet":[171],"companies":[172],"China,":[174],"helping":[175],"improving":[176],"network":[178],"utilization.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
