{"id":"https://openalex.org/W2471456127","doi":"https://doi.org/10.1109/noms.2016.7502814","title":"Inter-data-center network traffic prediction with elephant flows","display_name":"Inter-data-center network traffic prediction with elephant flows","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2471456127","doi":"https://doi.org/10.1109/noms.2016.7502814","mag":"2471456127"},"language":"en","primary_location":{"id":"doi:10.1109/noms.2016.7502814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2016.7502814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2016 - 2016 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/A5100421775","display_name":"Yi Li","orcid":"https://orcid.org/0000-0003-3097-2364"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410373","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0003-4488-0372"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819779","display_name":"Wenjun Yang","orcid":"https://orcid.org/0000-0002-6820-4822"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Yang","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104472669","display_name":"Dianming Hu","orcid":"https://orcid.org/0000-0002-7101-8350"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianming Hu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101650863","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-8856-8677"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1297,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90440103,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"41","issue":null,"first_page":"206","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9950000047683716,"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":0.9950000047683716,"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":0.980400025844574,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8076072335243225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5435090661048889},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.4965854287147522},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4783708155155182},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4647952914237976},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44944149255752563},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4185488224029541},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3837658166885376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076072335243225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5435090661048889},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.4965854287147522},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4783708155155182},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4647952914237976},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44944149255752563},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4185488224029541},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3837658166885376},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms.2016.7502814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2016.7502814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W12596926","https://openalex.org/W114517082","https://openalex.org/W1494649124","https://openalex.org/W1512748702","https://openalex.org/W1536447791","https://openalex.org/W1586335931","https://openalex.org/W1589692599","https://openalex.org/W1590867255","https://openalex.org/W1937262472","https://openalex.org/W1980462675","https://openalex.org/W1993044534","https://openalex.org/W2007422655","https://openalex.org/W2024377782","https://openalex.org/W2055781590","https://openalex.org/W2070681743","https://openalex.org/W2077590806","https://openalex.org/W2085849301","https://openalex.org/W2094142108","https://openalex.org/W2099657323","https://openalex.org/W2102090846","https://openalex.org/W2110940238","https://openalex.org/W2116888160","https://openalex.org/W2117014758","https://openalex.org/W2120390927","https://openalex.org/W2126822952","https://openalex.org/W2126831543","https://openalex.org/W2136922672","https://openalex.org/W2138169724","https://openalex.org/W2148506461","https://openalex.org/W2155669300","https://openalex.org/W2162870748","https://openalex.org/W2163565319","https://openalex.org/W2164096531","https://openalex.org/W2170419262","https://openalex.org/W2186683621","https://openalex.org/W2322027736","https://openalex.org/W2385691297","https://openalex.org/W2535337293","https://openalex.org/W2766039569","https://openalex.org/W2998113761","https://openalex.org/W3150435615","https://openalex.org/W4242688646","https://openalex.org/W4250756613","https://openalex.org/W6630661224","https://openalex.org/W6686934925"],"related_works":["https://openalex.org/W2130966263","https://openalex.org/W2028024605","https://openalex.org/W2767525681","https://openalex.org/W2625550807","https://openalex.org/W2496161296","https://openalex.org/W1482618134","https://openalex.org/W2350861899","https://openalex.org/W2134166984","https://openalex.org/W2993658294","https://openalex.org/W4308890008"],"abstract_inverted_index":{"With":[0],"the":[1,71,98,113,119,129,133,159,167],"ever":[2],"increasing":[3],"number":[4],"of":[5,52,95,115,158],"large":[6,62],"scale":[7],"Internet":[8,161],"applications,":[9],"inter":[10],"data":[11,14],"center":[12],"(inter-DC)":[13],"transfers":[15,24],"are":[16],"becoming":[17],"more":[18,20],"and":[19,29,31],"common.":[21],"Traditional":[22],"inter-DC":[23,105],"suffers":[25],"from":[26],"both":[27],"low-utilization":[28],"congestion,":[30],"traffic":[32,43,103],"prediction":[33,72,88,109,142,150],"is":[34,44,57,151],"an":[35],"important":[36],"method":[37],"to":[38,46,86,126],"optimize":[39],"these":[40],"transfers.":[41],"Inter-DC":[42],"harder":[45],"predict":[47],"than":[48],"many":[49],"other":[50],"types":[51],"network":[53,84,169],"traffic,":[54],"because":[55],"it":[56],"dominated":[58],"by":[59,147],"a":[60,66],"few":[61],"applications.":[63],"We":[64,136],"propose":[65],"model":[67],"that":[68,138],"significantly":[69],"reduces":[70],"errors.":[73],"In":[74],"our":[75,108],"model,":[76],"we":[77,91,123,139],"combine":[78],"wavelet":[79],"transform":[80],"with":[81],"artificial":[82],"neural":[83],"(ANN)":[85],"improve":[87],"accuracy.":[89],"Specifically,":[90],"explicitly":[92],"add":[93],"information":[94],"elephant":[96,120,134],"flows,":[97],"least":[99],"predictable":[100],"yet":[101],"dominating":[102],"in":[104,128,132,153,163],"network,":[106],"into":[107],"model.":[110],"To":[111],"reduce":[112,141],"amount":[114],"monitoring":[116],"overhead":[117],"for":[118],"flow":[121],"information,":[122],"added":[124],"interpolation":[125],"fill":[127],"unknown":[130],"values":[131],"flows.":[135],"demonstrate":[137],"can":[140],"errors":[143],"over":[144],"existing":[145],"methods":[146],"5%~10%.":[148],"Our":[149],"already":[152],"production":[154],"at":[155],"Baidu,":[156],"one":[157],"largest":[160],"companies":[162],"China,":[164],"helping":[165],"reducing":[166],"peak":[168],"bandwidth.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}