{"id":"https://openalex.org/W4413073834","doi":"https://doi.org/10.1109/tnsm.2025.3589637","title":"Hierarchical Adaptive Learning-Based Congestion Control With Low Training Overhead for Datacenter Networks","display_name":"Hierarchical Adaptive Learning-Based Congestion Control With Low Training Overhead for Datacenter Networks","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4413073834","doi":"https://doi.org/10.1109/tnsm.2025.3589637"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2025.3589637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2025.3589637","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Network and Service Management","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/A5022806757","display_name":"Jinbin Hu","orcid":"https://orcid.org/0000-0001-8216-9683"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinbin Hu","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076220263","display_name":"Zikai Zhou","orcid":"https://orcid.org/0000-0002-0299-7241"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikai Zhou","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061511054","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-7420-2305"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022806757"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":3.0965,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92606638,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"22","issue":"5","first_page":"4061","last_page":"4069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9886999726295471,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9886999726295471,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.984000027179718,"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/T12676","display_name":"Machine Learning and ELM","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.8441797494888306},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.7163300514221191},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6050809621810913},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5884600877761841},{"id":"https://openalex.org/keywords/slow-start","display_name":"Slow-start","score":0.5845771431922913},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5036348700523376},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4688962996006012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3730272054672241},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12421873211860657},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.10968795418739319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8441797494888306},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.7163300514221191},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6050809621810913},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5884600877761841},{"id":"https://openalex.org/C15195413","wikidata":"https://www.wikidata.org/wiki/Q2835766","display_name":"Slow-start","level":4,"score":0.5845771431922913},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5036348700523376},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4688962996006012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3730272054672241},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12421873211860657},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.10968795418739319},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2025.3589637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2025.3589637","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3468037009","display_name":null,"funder_award_id":"62473146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3944023748","display_name":null,"funder_award_id":"2023IT271","funder_id":"https://openalex.org/F4320331079","funder_display_name":"National Technology Foundation Project"},{"id":"https://openalex.org/G6396608774","display_name":null,"funder_award_id":"62472050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320331079","display_name":"National Technology Foundation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1988975763","https://openalex.org/W2022844530","https://openalex.org/W2139378549","https://openalex.org/W2164740236","https://openalex.org/W2498764059","https://openalex.org/W2540285146","https://openalex.org/W2557879050","https://openalex.org/W2789521771","https://openalex.org/W2899254093","https://openalex.org/W2963448601","https://openalex.org/W2989494640","https://openalex.org/W2997642214","https://openalex.org/W2999081124","https://openalex.org/W3002973041","https://openalex.org/W3004648298","https://openalex.org/W3008245781","https://openalex.org/W3046470751","https://openalex.org/W3046478992","https://openalex.org/W3192114749","https://openalex.org/W4213209621","https://openalex.org/W4235732943","https://openalex.org/W4240522432","https://openalex.org/W4288391344","https://openalex.org/W4307105603","https://openalex.org/W4393407277","https://openalex.org/W4399039119","https://openalex.org/W4400237250","https://openalex.org/W4401907549","https://openalex.org/W4402508041","https://openalex.org/W4407783517"],"related_works":["https://openalex.org/W2355205438","https://openalex.org/W2369428326","https://openalex.org/W2356339667","https://openalex.org/W2398114535","https://openalex.org/W2152957590","https://openalex.org/W2915792401","https://openalex.org/W2391249904","https://openalex.org/W2082861166","https://openalex.org/W2373632569","https://openalex.org/W2918553411"],"abstract_inverted_index":{"Most":[0],"congestion":[1,30,42,70,86,93,108],"control":[2,31,43,71,87,94,109],"mechanisms":[3,44],"perform":[4],"well":[5],"in":[6],"specific":[7],"datacenter":[8],"networks,":[9],"but":[10],"none":[11],"can":[12,27],"consistently":[13],"deliver":[14],"good":[15],"performance":[16],"across":[17],"varying":[18,79],"scenarios.":[19],"Recently":[20],"proposed":[21],"frameworks":[22],"based":[23],"on":[24],"reinforcement":[25],"learning":[26],"flexibly":[28],"select":[29],"algorithms":[32],"to":[33,35,54,74,77,114,136,143],"adapt":[34],"dynamic":[36],"network.":[37,80],"However,":[38],"frequently":[39],"altering":[40],"the":[41,50,78,84,91,100,107,126],"during":[45],"relatively":[46],"stable":[47],"periods":[48],"of":[49],"network":[51,102,116],"actually":[52],"leads":[53],"instability":[55],"and":[56,67,131,140,147],"unnecessary":[57],"computational":[58],"overhead.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"a":[65],"lightweight":[66],"hierarchical":[68],"adaptive":[69],"algorithm":[72,95],"(LACC)":[73],"be":[75],"resilient":[76],"LACC":[81,123],"dynamically":[82],"selects":[83],"appropriate":[85],"mechanism":[88],"only":[89],"when":[90],"current":[92,101],"is":[96],"not":[97],"suitable":[98],"for":[99],"state,":[103],"rather":[104],"than":[105],"changing":[106],"scheme":[110],"every":[111],"training":[112],"cycle":[113],"ensure":[115],"stability.":[117],"The":[118],"simulation":[119],"results":[120],"show":[121],"that":[122],"significantly":[124],"reduces":[125],"average":[127],"overhead":[128],"by":[129,134],"31%":[130],"improves":[132],"throughput":[133],"up":[135],"47%,":[137],"35%,":[138],"23%":[139],"15%":[141],"compared":[142],"Cubic,":[144],"Reno,":[145],"BBR":[146],"Antelope,":[148],"respectively.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}