{"id":"https://openalex.org/W2172163422","doi":"https://doi.org/10.1145/1028788.1028807","title":"Traffic matrix estimation on a large IP backbone","display_name":"Traffic matrix estimation on a large IP backbone","publication_year":2004,"publication_date":"2004-10-25","ids":{"openalex":"https://openalex.org/W2172163422","doi":"https://doi.org/10.1145/1028788.1028807","mag":"2172163422"},"language":"en","primary_location":{"id":"doi:10.1145/1028788.1028807","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1028788.1028807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGCOMM conference on Internet measurement","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/A5073748988","display_name":"Anders Gunnar","orcid":null},"institutions":[{"id":"https://openalex.org/I2800780207","display_name":"Swedish Institute","ror":"https://ror.org/022w3f533","country_code":"SE","type":"government","lineage":["https://openalex.org/I2800780207"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Anders Gunnar","raw_affiliation_strings":["Swedish Institute of Computer Science, Kista, Sweden"],"affiliations":[{"raw_affiliation_string":"Swedish Institute of Computer Science, Kista, Sweden","institution_ids":["https://openalex.org/I2800780207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024256519","display_name":"Mikael Johansson","orcid":"https://orcid.org/0000-0002-2237-2580"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Johansson","raw_affiliation_strings":["Sensors and Systems, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Sensors and Systems, KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037861292","display_name":"Thomas Telkamp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Telkamp","raw_affiliation_strings":["Global Crossing, Ltd, Utrecht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Global Crossing, Ltd, Utrecht, The Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073748988"],"corresponding_institution_ids":["https://openalex.org/I2800780207"],"apc_list":null,"apc_paid":null,"fwci":12.2043,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.98695996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"149","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9998000264167786,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10847","display_name":"Advanced Optical Network Technologies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323940992355347},{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.6937767267227173},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5975670218467712},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5866285562515259},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5611835718154907},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5301951766014099},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5162220001220703},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4699799120426178},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4437390863895416},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4169202148914337},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41300058364868164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40695473551750183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17145508527755737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13212507963180542},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11775517463684082},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08826756477355957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323940992355347},{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.6937767267227173},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5975670218467712},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5866285562515259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5611835718154907},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5301951766014099},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5162220001220703},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4699799120426178},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4437390863895416},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4169202148914337},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41300058364868164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40695473551750183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17145508527755737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13212507963180542},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11775517463684082},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08826756477355957},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1028788.1028807","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1028788.1028807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGCOMM conference on Internet measurement","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":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320940","display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","ror":"https://ror.org/044wr7g58"},{"id":"https://openalex.org/F4320335354","display_name":"Strategic Research Council","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W35472559","https://openalex.org/W1530589046","https://openalex.org/W1605290599","https://openalex.org/W1802492819","https://openalex.org/W1965068506","https://openalex.org/W1970202913","https://openalex.org/W1970701242","https://openalex.org/W2044807855","https://openalex.org/W2066872093","https://openalex.org/W2072790957","https://openalex.org/W2077342791","https://openalex.org/W2100908985","https://openalex.org/W2104254326","https://openalex.org/W2118826796","https://openalex.org/W2121959042","https://openalex.org/W2126281557","https://openalex.org/W2126590799","https://openalex.org/W2133646105","https://openalex.org/W2136558412","https://openalex.org/W2154965732","https://openalex.org/W2155969596","https://openalex.org/W2158248787","https://openalex.org/W2295569936","https://openalex.org/W2409554298","https://openalex.org/W3193262203","https://openalex.org/W4210937677","https://openalex.org/W4243349849","https://openalex.org/W4285719527","https://openalex.org/W4302461881","https://openalex.org/W4322358105","https://openalex.org/W6638466754"],"related_works":["https://openalex.org/W2134539183","https://openalex.org/W2359209543","https://openalex.org/W2370801098","https://openalex.org/W2380475535","https://openalex.org/W2377112249","https://openalex.org/W4320027669","https://openalex.org/W3007856966","https://openalex.org/W3008791560","https://openalex.org/W1987770095","https://openalex.org/W2532292920"],"abstract_inverted_index":{"This":[0,53],"paper":[1],"considers":[2],"the":[3,7,63,85,96,103,141,146,153,156],"problem":[4],"of":[5,40,65,77,98,113,145],"estimating":[6],"point-to-point":[8],"traffic":[9,25,42,79,119],"matrix":[10,26,80,120],"in":[11,152],"an":[12,58],"operational":[13],"IP":[14,47],"backbone.":[15],"Contrary":[16],"to":[17,56,72],"previous":[18],"studies,":[19],"that":[20,133],"have":[21],"used":[22],"a":[23,36,45,74,110],"partial":[24],"or":[27],"demands":[28],"estimated":[29],"from":[30,44],"aggregated":[31],"Netflow":[32],"traces,":[33],"we":[34],"use":[35],"unique":[37],"data":[38,60,86],"set":[39],"complete":[41],"matrices":[43],"global":[46],"network":[48],"measured":[49],"over":[50],"five-minute":[51],"intervals.":[52],"allows":[54],"us":[55,71],"do":[57],"accurate":[59],"analysis":[61],"on":[62,135],"time-scale":[64],"typical":[66],"link-load":[67],"measurements":[68],"and":[69,91,101,115,131,143,149,158],"enables":[70],"make":[73],"balanced":[75],"evaluation":[76,112],"different":[78],"estimation":[81,129],"techniques.":[82],"We":[83,108,139],"describe":[84],"collection":[87],"infrastructure,":[88],"present":[89],"spatial":[90],"temporal":[92],"demand":[93],"distributions,":[94],"investigate":[95],"stability":[97],"fan-out":[99],"factors,":[100],"analyze":[102],"mean-variance":[104],"relationships":[105],"between":[106],"demands.":[107],"perform":[109],"critical":[111],"existing":[114],"novel":[116],"methods":[117,132],"for":[118,155],"estimation,":[121,125],"including":[122],"recursive":[123],"fanout":[124],"worst-case":[126],"bounds,":[127],"regularized":[128],"techniques,":[130],"rely":[134],"mean":[136],"variance":[137],"relationships.":[138],"discuss":[140],"weaknesses":[142],"strengths":[144],"various":[147],"methods,":[148],"highlight":[150],"differences":[151],"results":[154],"European":[157],"American":[159],"subnetworks.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":15}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}