{"id":"https://openalex.org/W4320024228","doi":"https://doi.org/10.1109/bigdata55660.2022.10021076","title":"Optimal Rate Control for Latency-constrained High Throughput Big Data Applications","display_name":"Optimal Rate Control for Latency-constrained High Throughput Big Data Applications","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024228","doi":"https://doi.org/10.1109/bigdata55660.2022.10021076"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10021076","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10021076","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012243512","display_name":"Ziren Xiao","orcid":"https://orcid.org/0000-0002-3495-3657"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ziren Xiao","raw_affiliation_strings":["The University of Melbourne,Melbourne,Australia","The University of Melbourne, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001613337","display_name":"Aaron Harwood","orcid":"https://orcid.org/0000-0002-4183-8462"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aaron Harwood","raw_affiliation_strings":["The University of Melbourne,Melbourne,Australia","The University of Melbourne, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032796449","display_name":"Maria A. Rodriguez","orcid":"https://orcid.org/0000-0002-2831-8526"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maria A. Rodriguez","raw_affiliation_strings":["The University of Melbourne,Melbourne,Australia","The University of Melbourne, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9987999796867371,"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":0.9987999796867371,"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/T13553","display_name":"Age of Information Optimization","score":0.9976999759674072,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.857438862323761},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.697374701499939},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6661785244941711},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6033310294151306},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.565265953540802},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5592030882835388},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5228182077407837},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4973650276660919},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.4769153296947479},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4758422374725342},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.370608389377594},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14572903513908386},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11170679330825806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.857438862323761},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.697374701499939},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6661785244941711},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6033310294151306},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.565265953540802},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5592030882835388},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5228182077407837},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4973650276660919},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.4769153296947479},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4758422374725342},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.370608389377594},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14572903513908386},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11170679330825806},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10021076","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10021076","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2115221276","https://openalex.org/W2163905250","https://openalex.org/W2470009164","https://openalex.org/W2736601468","https://openalex.org/W2791195860","https://openalex.org/W2792917898","https://openalex.org/W2801358835","https://openalex.org/W2802001548","https://openalex.org/W2890210703","https://openalex.org/W2909859782","https://openalex.org/W2921646839","https://openalex.org/W2962175345","https://openalex.org/W2963400562","https://openalex.org/W2966944379","https://openalex.org/W2975745430","https://openalex.org/W3016712945","https://openalex.org/W3046478992","https://openalex.org/W3091574512","https://openalex.org/W3133382421","https://openalex.org/W3154552531","https://openalex.org/W6684260611","https://openalex.org/W6741002519","https://openalex.org/W6741471465","https://openalex.org/W6750761875","https://openalex.org/W6754276374","https://openalex.org/W6762728350"],"related_works":["https://openalex.org/W2528394919","https://openalex.org/W2169420408","https://openalex.org/W1975718158","https://openalex.org/W2124572611","https://openalex.org/W2006518659","https://openalex.org/W1578908655","https://openalex.org/W2120510579","https://openalex.org/W2597482914","https://openalex.org/W2545426700","https://openalex.org/W2982124863"],"abstract_inverted_index":{"High":[0],"performance":[1],"distributed":[2,6],"systems":[3,9],"such":[4],"as":[5],"stream":[7],"processing":[8],"and":[10,76,101,103,145,155],"message-passing":[11],"parallel":[12],"programs":[13],"are":[14,162],"often":[15],"deployed":[16],"on":[17,85],"platforms":[18],"that":[19,127],"make":[20],"use":[21,105],"of":[22,60,98],"vanilla":[23],"TCP/IP":[24],"communication,":[25,90],"which":[26,140],"in":[27,39,55,69,153,191,201],"turn":[28],"uses":[29],"the":[30,49,64,92,112,116,130,135,149],"conventional":[31,50],"Nagle\u2019s":[32],"algorithm":[33],"for":[34,66,87],"congestion":[35],"control.":[36],"Recent":[37],"research":[38],"Reinforcement":[40],"Learning":[41],"(RL)":[42],"techniques":[43],"to":[44,78,110,134,148,165,176,188,197],"either":[45],"replace":[46],"or":[47,168],"control":[48],"TCP":[51],"approach":[52],"shows":[53],"promise":[54],"achieving":[56],"a":[57,70,106,123,198],"greater":[58],"degree":[59],"performance,":[61],"especially":[62],"when":[63,204],"demand":[65],"network":[67],"resources":[68],"multi-tenant":[71],"platform":[72],"is":[73,207],"highly":[74,208],"dynamic":[75],"infeasible":[77],"model.":[79],"Existing":[80],"results":[81,173],"are,":[82],"however,":[83],"focused":[84],"RL":[86,125,183],"general":[88],"Internet":[89],"with":[91],"learning":[93],"objective":[94,126,179],"being":[95],"some":[96],"combination":[97],"throughput,":[99],"loss,":[100],"latency,":[102],"predominately":[104],"continuous":[107],"action":[108],"space":[109],"adjust":[111],"packet":[113,143,192,205],"rate":[114,133],"at":[115],"sender.":[117],"In":[118],"this":[119],"work,":[120],"we":[121],"propose":[122],"coefficient-free":[124],"perfectly":[128],"matches":[129],"data":[131],"transmission":[132],"underlying":[136],"communication":[137],"system\u2019s":[138],"bottleneck,":[139],"naturally":[141],"deters":[142],"loss":[144,193],"thereby":[146],"converges":[147],"ideal":[150],"throughput":[151,203],"even":[152],"lock-free":[154],"latency-constrained":[156],"Big":[157],"Data":[158],"applications":[159],"where":[160],"packets":[161],"dropped":[163],"due":[164],"load":[166],"shedding":[167],"exceeding":[169],"latency":[170,206],"thresholds.":[171],"Our":[172],"compare":[174],"favorably":[175],"other":[177],"state-of-the-art":[178],"functions":[180],"using":[181],"an":[182],"framework,":[184],"e.g.,":[185],"providing":[186],"up":[187,196],"48%":[189],"reduction":[190],"while":[194],"obtaining":[195],"4%":[199],"increase":[200],"overall":[202],"constrained.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}