{"id":"https://openalex.org/W4386486716","doi":"https://doi.org/10.1145/3600061.3603275","title":"Toward Fair and Efficient Congestion Control: Machine Learning Aided Congestion Control (MLACC)","display_name":"Toward Fair and Efficient Congestion Control: Machine Learning Aided Congestion Control (MLACC)","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4386486716","doi":"https://doi.org/10.1145/3600061.3603275"},"language":"en","primary_location":{"id":"doi:10.1145/3600061.3603275","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600061.3603275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Asia-Pacific Workshop on Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vtechworks.lib.vt.edu/bitstreams/a83c95a0-d58e-4b93-a82a-86a1982026a5/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058216487","display_name":"Ahmed Elbery","orcid":"https://orcid.org/0000-0002-7856-6122"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmed Elbery","raw_affiliation_strings":["Network and protocols, Huawei Technologies Canada, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7856-6122","affiliations":[{"raw_affiliation_string":"Network and protocols, Huawei Technologies Canada, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044796852","display_name":"Yi Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yi Lian","raw_affiliation_strings":["Network and protocols, Huawei Technologies Canada, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6372-0545","affiliations":[{"raw_affiliation_string":"Network and protocols, Huawei Technologies Canada, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079348889","display_name":"Geng Li","orcid":"https://orcid.org/0000-0002-5467-548X"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Geng Li","raw_affiliation_strings":["Network and protocols, Huawei Technologies Canada, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5467-548X","affiliations":[{"raw_affiliation_string":"Network and protocols, Huawei Technologies Canada, Canada","institution_ids":["https://openalex.org/I4210115038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1379,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7966345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"94"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9991000294685364,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/bottleneck","display_name":"Bottleneck","score":0.8461225032806396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8186310529708862},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.7271067500114441},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7015206217765808},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5789834260940552},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5391367673873901},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5384575724601746},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.49765875935554504},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3892209231853485},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3410186469554901},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11132138967514038},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08467620611190796}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8461225032806396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186310529708862},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.7271067500114441},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7015206217765808},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5789834260940552},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5391367673873901},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5384575724601746},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.49765875935554504},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3892209231853485},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3410186469554901},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11132138967514038},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08467620611190796},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3600061.3603275","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600061.3603275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Asia-Pacific Workshop on Networking","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/116398","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/116398","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/a83c95a0-d58e-4b93-a82a-86a1982026a5/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/116398","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/116398","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/a83c95a0-d58e-4b93-a82a-86a1982026a5/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386486716.pdf","grobid_xml":"https://content.openalex.org/works/W4386486716.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1513776987","https://openalex.org/W2066258383","https://openalex.org/W2112495447","https://openalex.org/W2136848157","https://openalex.org/W2173213060","https://openalex.org/W2528130681","https://openalex.org/W2768913804","https://openalex.org/W2804229990","https://openalex.org/W2981134903","https://openalex.org/W2990113028","https://openalex.org/W3091574512","https://openalex.org/W3115478688","https://openalex.org/W3127399923","https://openalex.org/W3129258755","https://openalex.org/W3138562521","https://openalex.org/W3144454280","https://openalex.org/W4248409180","https://openalex.org/W4313060559"],"related_works":["https://openalex.org/W2106906543","https://openalex.org/W4226218331","https://openalex.org/W4381301812","https://openalex.org/W2047584981","https://openalex.org/W1561385631","https://openalex.org/W2166315921","https://openalex.org/W2071614110","https://openalex.org/W2162566722","https://openalex.org/W23565719","https://openalex.org/W1542379831"],"abstract_inverted_index":{"Emerging":[0],"inter-datacenter":[1],"applications":[2],"require":[3],"massive":[4],"loads":[5],"of":[6,34,72,87,91,135,210],"data":[7],"transfer":[8],"which":[9],"makes":[10],"them":[11],"sensitive":[12],"to":[13,59,83,101,104,118,126,139,147,182],"packet":[14,190],"drops,":[15],"high":[16,70],"latency,":[17,75],"and":[18,55,76,121,176],"fair":[19],"resource":[20],"sharing.":[21],"However,":[22],"current":[23],"congestion":[24],"control":[25,140],"(CC)":[26],"protocols":[27],"do":[28],"not":[29],"guarantee":[30],"the":[31,85,88,92,96,107,128,133,136,141,156],"optimal":[32],"outcome":[33],"these":[35,61,203],"metrics.":[36,64],"In":[37],"this":[38,99],"paper,":[39],"we":[40],"introduce":[41],"a":[42,69,113,161,195,206],"new":[43],"CC":[44],"technique,":[45],"Machine":[46],"Learning":[47],"Aided":[48],"Congestion":[49],"Control":[50],"(MLACC),":[51],"that":[52,171],"combines":[53],"heuristics":[54],"machine":[56],"learning":[57],"(ML)":[58],"improve":[60],"three":[62],"network":[63,166],"The":[65,124,168,199],"proposed":[66],"technique":[67],"achieves":[68],"level":[71],"fairness,":[73],"minimum":[74,77],"drop":[78,122,191],"rate.":[79,123,143],"ML":[80],"is":[81,131,150,205],"utilized":[82],"estimate":[84],"ratio":[86,100],"available":[89],"bandwidth":[90],"bottleneck":[93,109],"link":[94,110,137],"while":[95,193],"heuristic":[97],"uses":[98],"enable":[102],"end-points":[103],"cooperatively":[105],"limit":[106],"shared":[108],"utilization":[111,138],"under":[112],"predefined":[114],"threshold":[115],"in":[116,164],"order":[117],"minimize":[119],"latency":[120,180,184],"key":[125],"achieving":[127],"desired":[129],"fairness":[130,197],"using":[132],"gradient":[134],"sending":[142],"We":[144],"compared":[145],"MLACC":[146,172],"BBR":[148],"(which":[149],"at":[151],"least":[152],"on":[153],"par":[154],"with":[155],"state-of-the-art":[157],"ML-based":[158],"techniques)":[159],"as":[160],"base":[162],"case":[163],"different":[165],"settings.":[167],"results":[169],"show":[170],"can":[173],"achieve":[174],"lower":[175],"more":[177],"stable":[178],"end-to-end":[179],"(25%":[181],"52%":[183],"saving).":[185],"It":[186],"also":[187],"significantly":[188],"reduces":[189],"rates":[192],"attaining":[194],"higher":[196],"level.":[198],"only":[200],"cost":[201],"for":[202],"advantages":[204],"small":[207],"throughput":[208],"reduction":[209],"less":[211],"than":[212],"3.5%.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}