{"id":"https://openalex.org/W2096424865","doi":"https://doi.org/10.1109/lcomm.2005.1431175","title":"TCC: a two-category classifier for AQM routers supporting TCP flows","display_name":"TCC: a two-category classifier for AQM routers supporting TCP flows","publication_year":2005,"publication_date":"2005-05-01","ids":{"openalex":"https://openalex.org/W2096424865","doi":"https://doi.org/10.1109/lcomm.2005.1431175","mag":"2096424865"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2005.1431175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2005.1431175","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5080197427","display_name":"Fengyuan Ren","orcid":"https://orcid.org/0000-0001-6526-3889"},"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":"Fengyuan Ren","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China","Computer Science and Technology Dept., Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Computer Science and Technology Dept., Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443730","display_name":"Chuang Lin","orcid":"https://orcid.org/0000-0002-3726-7601"},"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":"Chuang Lin","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China","Computer Science and Technology Dept., Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Computer Science and Technology Dept., Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110092339","display_name":"Xiaomeng Huang","orcid":null},"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":"Xiaomeng Huang","raw_affiliation_strings":["Computer Science and Technology Department, Tsinghua University, Beijing, China","Computer Science and Technology Dept., Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Technology Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Computer Science and Technology Dept., Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.0813,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81845189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"5","first_page":"471","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":1.0,"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":1.0,"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":0.9993000030517578,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/active-queue-management","display_name":"Active queue management","score":0.9887828826904297},{"id":"https://openalex.org/keywords/random-early-detection","display_name":"Random early detection","score":0.9373834133148193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7456860542297363},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.6987876892089844},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6611267924308777},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5953576564788818},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5605956315994263},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4852707087993622},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.42361265420913696},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.3343876004219055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22994482517242432},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13249337673187256},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.10262593626976013}],"concepts":[{"id":"https://openalex.org/C34793927","wikidata":"https://www.wikidata.org/wiki/Q583367","display_name":"Active queue management","level":4,"score":0.9887828826904297},{"id":"https://openalex.org/C161965511","wikidata":"https://www.wikidata.org/wiki/Q560448","display_name":"Random early detection","level":5,"score":0.9373834133148193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456860542297363},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.6987876892089844},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6611267924308777},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5953576564788818},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5605956315994263},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4852707087993622},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.42361265420913696},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.3343876004219055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22994482517242432},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13249337673187256},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.10262593626976013}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2005.1431175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2005.1431175","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1886164657","https://openalex.org/W2129348840","https://openalex.org/W2145942024","https://openalex.org/W2158700277","https://openalex.org/W2158733823","https://openalex.org/W4244494905"],"related_works":["https://openalex.org/W3013694835","https://openalex.org/W1884496646","https://openalex.org/W4229953098","https://openalex.org/W2904956797","https://openalex.org/W1518489902","https://openalex.org/W4224240262","https://openalex.org/W2352169350","https://openalex.org/W2005507568","https://openalex.org/W2147617325","https://openalex.org/W2189475733"],"abstract_inverted_index":{"Active":[0],"Queue":[1],"Management":[2],"(AQM)":[3],"can":[4],"maintain":[5],"smaller":[6],"queuing":[7],"delay":[8],"and":[9,77],"higher":[10],"throughput":[11],"by":[12],"purposefully":[13],"dropping":[14,28,44],"packets":[15],"at":[16],"intermediate":[17],"nodes.":[18],"Most":[19],"of":[20],"the":[21,26,55,65,80],"existing":[22],"AQM":[23,47,71],"schemes":[24],"follow":[25],"probability":[27],"mechanism":[29,45],"originated":[30],"from":[31],"Random":[32],"Early":[33],"Detection":[34],"(RED).":[35],"In":[36],"this":[37],"letter,":[38],"we":[39],"develop":[40],"a":[41,50],"novel":[42],"packet":[43],"for":[46],"through":[48],"designing":[49],"two-category":[51],"classifier":[52],"based":[53],"on":[54],"Fisher":[56],"Linear":[57],"Discriminate":[58],"approach.":[59],"The":[60],"simulation":[61],"results":[62],"show":[63],"that":[64],"new":[66],"scheme":[67],"outperforms":[68],"other":[69],"well-known":[70],"schemes,":[72],"such":[73],"as":[74],"RED,":[75],"PI":[76],"REM,":[78],"in":[79],"integrated":[81],"performance.":[82]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
