{"id":"https://openalex.org/W4401176028","doi":"https://doi.org/10.1145/3651890.3672255","title":"CCAnalyzer: An Efficient and Nearly-Passive Congestion Control Classifier","display_name":"CCAnalyzer: An Efficient and Nearly-Passive Congestion Control Classifier","publication_year":2024,"publication_date":"2024-07-31","ids":{"openalex":"https://openalex.org/W4401176028","doi":"https://doi.org/10.1145/3651890.3672255"},"language":"en","primary_location":{"id":"doi:10.1145/3651890.3672255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651890.3672255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2024 Conference","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/A5070842315","display_name":"Ranysha Ware","orcid":"https://orcid.org/0009-0001-6619-4149"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ranysha Ware","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States of America"],"raw_orcid":"https://orcid.org/0009-0001-6619-4149","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States of America","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066394199","display_name":"Adithya Abraham Philip","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adithya Abraham Philip","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0009-0002-9750-4442","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106015939","display_name":"Nicholas Hungria","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Hungria","raw_affiliation_strings":["Carnegie Mellon Unversity, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0009-0005-1909-5710","affiliations":[{"raw_affiliation_string":"Carnegie Mellon Unversity, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040328593","display_name":"Yash Kothari","orcid":"https://orcid.org/0009-0005-7065-1196"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yash Kothari","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0009-0005-7065-1196","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072515084","display_name":"Justine Sherry","orcid":"https://orcid.org/0000-0002-8270-4102"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justine Sherry","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-8270-4102","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States of America","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088871947","display_name":"Srinivasan Seshan","orcid":"https://orcid.org/0000-0002-9508-2066"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Seshan","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9508-2066","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States of America","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070842315"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.0276,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91796118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9958999752998352,"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":0.9958999752998352,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9944999814033508,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722730398178101},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.5817379951477051},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4717731475830078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43521174788475037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35151126980781555},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3362621068954468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722730398178101},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.5817379951477051},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4717731475830078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43521174788475037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35151126980781555},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3362621068954468},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651890.3672255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651890.3672255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2024 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G8565655479","display_name":null,"funder_award_id":"212390","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W89608058","https://openalex.org/W1515106148","https://openalex.org/W1867902620","https://openalex.org/W1966554111","https://openalex.org/W1982421724","https://openalex.org/W1988975763","https://openalex.org/W1993381725","https://openalex.org/W2008348094","https://openalex.org/W2021085547","https://openalex.org/W2022844530","https://openalex.org/W2049017883","https://openalex.org/W2067764765","https://openalex.org/W2092119328","https://openalex.org/W2099302229","https://openalex.org/W2104206309","https://openalex.org/W2113579491","https://openalex.org/W2118760020","https://openalex.org/W2150572980","https://openalex.org/W2151594619","https://openalex.org/W2248269543","https://openalex.org/W2287160343","https://openalex.org/W2555077524","https://openalex.org/W2806944993","https://openalex.org/W2885982708","https://openalex.org/W2914189542","https://openalex.org/W2955665578","https://openalex.org/W2980438643","https://openalex.org/W2988102136","https://openalex.org/W2997437965","https://openalex.org/W3101297563","https://openalex.org/W3138819813","https://openalex.org/W3187145766","https://openalex.org/W3212928074","https://openalex.org/W4239779753","https://openalex.org/W4255831625","https://openalex.org/W4307020316","https://openalex.org/W4385192302"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2104259103"],"abstract_inverted_index":{"We":[0,106,119],"present":[1],"CCAnalyzer,":[2],"a":[3,39,108],"novel":[4,42],"classifier":[5,81],"for":[6,116],"deployed":[7,73],"Internet":[8,71],"congestion":[9],"control":[10],"algorithms":[11,139],"(CCAs)":[12],"which":[13,78],"is":[14,41,146],"more":[15,17,20],"accurate,":[16],"generalizable,":[18],"and":[19,34,104,128],"human-interpretable":[21],"than":[22,96],"prior":[23,97],"classifiers.":[24],"CCAnalyzer":[25,51,63,85,112],"requires":[26],"no":[27,79],"knowledge":[28],"of":[29,68,101,123,137],"the":[30,47,59,69,114],"underlying":[31],"CCA":[32,40,115],"algorithms,":[33],"it":[35,56,141],"can":[36,52,82,86,134],"identify":[37],"when":[38],"-":[43],"i.e.":[44],"not":[45,147],"in":[46,99,148],"training":[48,150],"set.":[49,151],"Furthermore,":[50],"cluster":[53],"together":[54],"servers":[55],"believes":[57],"use":[58],"same":[60],"novel/unknown":[61],"algorithm.":[62],"correctly":[64],"identifies":[65],"all":[66],"15":[67],"default":[70],"CCAs":[72,89],"with":[74],"Linux,":[75],"including":[76],"BBRv1,":[77],"existing":[80],"do.":[83],"Finally,":[84],"classify":[87],"server":[88],"while":[90],"being":[91],"as":[92,140],"efficient":[93],"or":[94],"better":[95],"approaches":[98],"terms":[100],"bytes":[102],"transferred":[103],"runtime.":[105],"conduct":[107],"measurement":[109],"study":[110],"using":[111],"measuring":[113],"5000+":[117],"websites.":[118],"find":[120],"widespread":[121],"deployment":[122],"BBRv1":[124],"at":[125],"large":[126],"CDNs,":[127],"demonstrate":[129],"how":[130],"our":[131],"clustering":[132],"technique":[133],"detect":[135],"deployments":[136],"new":[138],"discovers":[142],"BBRv3":[143,145],"although":[144],"its":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}