{"id":"https://openalex.org/W2918173924","doi":"https://doi.org/10.1109/infocom.2019.8737600","title":"Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients","display_name":"Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2918173924","doi":"https://doi.org/10.1109/infocom.2019.8737600","mag":"2918173924"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2019.8737600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-02405759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032446417","display_name":"Luigi Vigneri","orcid":"https://orcid.org/0000-0002-2922-3748"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Luigi Vigneri","raw_affiliation_strings":["IOTA Foundation, Berlin, Germany","Performance analysis and optimization of LARge Infrastructures and Systems"],"affiliations":[{"raw_affiliation_string":"IOTA Foundation, Berlin, Germany","institution_ids":[]},{"raw_affiliation_string":"Performance analysis and optimization of LARge Infrastructures and Systems","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070393786","display_name":"Georgios S. Paschos","orcid":"https://orcid.org/0000-0002-5922-1612"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Georgios Paschos","raw_affiliation_strings":["Boulogne Billancourt, Huawei Technologies, France","Huawei Technologies France"],"affiliations":[{"raw_affiliation_string":"Boulogne Billancourt, Huawei Technologies, France","institution_ids":["https://openalex.org/I4210123571"]},{"raw_affiliation_string":"Huawei Technologies France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018966648","display_name":"Panayotis Mertikopoulos","orcid":"https://orcid.org/0000-0003-2026-9616"},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Panayotis Mertikopoulos","raw_affiliation_strings":["CNRS, Univ. Grenoble Alpes, Inria, Grenoble, France","Performance analysis and optimization of LARge Infrastructures and Systems"],"affiliations":[{"raw_affiliation_string":"CNRS, Univ. Grenoble Alpes, Inria, Grenoble, France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]},{"raw_affiliation_string":"Performance analysis and optimization of LARge Infrastructures and Systems","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032446417"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5917,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84476001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1630","last_page":"1638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9947999715805054,"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":0.9947999715805054,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9907000064849854,"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/exponential-growth","display_name":"Exponential growth","score":0.6845369338989258},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.6645209789276123},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6552433967590332},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6008071899414062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4532453119754791},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.412927508354187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3662751317024231},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35081571340560913},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3329787850379944},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33170825242996216},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17929384112358093},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08599171042442322}],"concepts":[{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.6845369338989258},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6645209789276123},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6552433967590332},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6008071899414062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4532453119754791},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.412927508354187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3662751317024231},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35081571340560913},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3329787850379944},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33170825242996216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17929384112358093},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08599171042442322},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom.2019.8737600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02405759v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02405759","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"INFOCOM 2019 - IEEE International Conference on Computer Communications, Apr 2019, Paris, France. pp.1630-1638, &#x27E8;10.1109/INFOCOM.2019.8737600&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02405759v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02405759","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"INFOCOM 2019 - IEEE International Conference on Computer Communications, Apr 2019, Paris, France. pp.1630-1638, &#x27E8;10.1109/INFOCOM.2019.8737600&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1505731132","https://openalex.org/W1517403807","https://openalex.org/W1547108212","https://openalex.org/W1963529497","https://openalex.org/W1992208280","https://openalex.org/W2037710455","https://openalex.org/W2038007012","https://openalex.org/W2058677708","https://openalex.org/W2077723394","https://openalex.org/W2088537296","https://openalex.org/W2089162893","https://openalex.org/W2094336028","https://openalex.org/W2126143263","https://openalex.org/W2147524058","https://openalex.org/W2159715570","https://openalex.org/W2162986857","https://openalex.org/W2262385276","https://openalex.org/W2344785668","https://openalex.org/W2423722777","https://openalex.org/W2798766386","https://openalex.org/W2963150656","https://openalex.org/W2963576077","https://openalex.org/W4235178178","https://openalex.org/W4240896209","https://openalex.org/W4292022450","https://openalex.org/W4301435544"],"related_works":["https://openalex.org/W4394883359","https://openalex.org/W1602624896","https://openalex.org/W1519862060","https://openalex.org/W1634993130","https://openalex.org/W2104564563","https://openalex.org/W32300376","https://openalex.org/W2794917831","https://openalex.org/W2013108996","https://openalex.org/W3023224836","https://openalex.org/W1990369157"],"abstract_inverted_index":{"Network":[0],"utility":[1],"maximization":[2],"(NUM)":[3],"is":[4,13,46,63],"an":[5,155],"iconic":[6],"problem":[7,99],"in":[8,27,60,133,166],"network":[9,22],"traffic":[10],"management":[11],"which":[12,62],"at":[14],"the":[15,34,68,71,97,107,111,120,123],"core":[16],"of":[17,37,56,70,80,110,122,157,160],"many":[18],"current":[19],"and":[20,43,88,93,131],"emerging":[21],"design":[23],"paradigms":[24],"-":[25],"and,":[26],"particular,":[28],"software-defined":[29],"networks":[30,39,136],"(SDNs).":[31],"Thus,":[32],"given":[33],"exponential":[35],"growth":[36],"modern-day":[38],"(in":[40],"both":[41],"size":[42,69,121],"complexity),":[44],"it":[45,126],"crucial":[47],"to":[48],"develop":[49],"scalable":[50,92],"algorithmic":[51],"tools":[52],"that":[53,106],"are":[54,141,147],"capable":[55],"providing":[57],"efficient":[58,94],"solutions":[59],"time":[61],"dimension-free,":[64],"i.e.,":[65],"independent-or":[66],"nearly-independent-on":[67],"system.":[72],"To":[73],"do":[74],"so,":[75],"we":[76,89],"leverage":[77],"a":[78,91,116],"suite":[79],"modified":[81],"gradient":[82,102,139,164],"methods":[83,140,165],"known":[84],"as":[85],"\u201cmirror":[86],"descent\u201d":[87],"derive":[90],"algorithm":[95,113],"for":[96],"NUM":[98],"based":[100],"on":[101,119],"exponentiation.":[103],"We":[104],"show":[105],"convergence":[108],"speed":[109],"proposed":[112],"only":[114],"carries":[115],"logarithmic":[117],"dependence":[118],"network,":[124],"so":[125],"can":[127],"be":[128],"implemented":[129],"reliably":[130],"efficiently":[132],"massively":[134],"large":[135],"where":[137],"traditional":[138],"prohibitively":[142],"slow.":[143],"These":[144],"theoretical":[145],"results":[146],"sub-sequently":[148],"validated":[149],"by":[150],"extensive":[151],"numerical":[152],"simulations":[153],"showing":[154],"improvement":[156],"several":[158],"order":[159],"magnitudes":[161],"over":[162],"standard":[163],"large-scale":[167],"networks.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
