{"id":"https://openalex.org/W3157117517","doi":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00051","title":"Reducing Tail Latency in Proactive Congestion Control via Moderate Speculation","display_name":"Reducing Tail Latency in Proactive Congestion Control via Moderate Speculation","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3157117517","doi":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00051","mag":"3157117517"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc-smartcity-dss50907.2020.00051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)","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/A5006729432","display_name":"Dezun Dong","orcid":"https://orcid.org/0000-0001-6243-8479"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dezun Dong","raw_affiliation_strings":["College of Computer, National University of Defense Technology, ChangSha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013350454","display_name":"Ke Wu","orcid":"https://orcid.org/0000-0002-0625-3004"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Wu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, ChangSha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006729432"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56492329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"32","issue":null,"first_page":"417","last_page":"424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9997000098228455,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9997000098228455,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9995999932289124,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479841113090515},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.69243323802948},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.6398845911026001},{"id":"https://openalex.org/keywords/flow-control","display_name":"Flow control (data)","score":0.5917391180992126},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.567220151424408},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.52458256483078},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5037114024162292},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.4509826898574829},{"id":"https://openalex.org/keywords/reservation","display_name":"Reservation","score":0.4221900701522827},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37011224031448364},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13894087076187134},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08467239141464233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479841113090515},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.69243323802948},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.6398845911026001},{"id":"https://openalex.org/C186766456","wikidata":"https://www.wikidata.org/wiki/Q612457","display_name":"Flow control (data)","level":2,"score":0.5917391180992126},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.567220151424408},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.52458256483078},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5037114024162292},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.4509826898574829},{"id":"https://openalex.org/C2777632111","wikidata":"https://www.wikidata.org/wiki/Q1937518","display_name":"Reservation","level":2,"score":0.4221900701522827},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37011224031448364},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13894087076187134},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08467239141464233}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc-smartcity-dss50907.2020.00051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1501077214","https://openalex.org/W1982067586","https://openalex.org/W2038577397","https://openalex.org/W2082482658","https://openalex.org/W2096597645","https://openalex.org/W2115132497","https://openalex.org/W2116497098","https://openalex.org/W2559629050","https://openalex.org/W2810921910","https://openalex.org/W2925183820","https://openalex.org/W2946554260","https://openalex.org/W2963086843","https://openalex.org/W4206909927","https://openalex.org/W4213221859","https://openalex.org/W6631615826"],"related_works":["https://openalex.org/W1483864377","https://openalex.org/W4226218331","https://openalex.org/W2106906543","https://openalex.org/W2161382340","https://openalex.org/W2131441491","https://openalex.org/W2383692046","https://openalex.org/W2890827962","https://openalex.org/W4381301812","https://openalex.org/W85479676","https://openalex.org/W2162566722"],"abstract_inverted_index":{"Congestion":[0],"is":[1],"the":[2,29,47,50,54,61,67,76,94,115,123,142,148,208,222,236],"bottleneck":[3],"of":[4,78,96,225],"HPC":[5],"networks":[6],"and":[7,22,40,86,98,103,119,159,164,175,192,204,235],"seriously":[8,65],"affects":[9],"system":[10],"performance.":[11],"In":[12,89],"order":[13],"to":[14,16,153,166,200,233,245],"adapt":[15],"HPC's":[17],"short":[18,41,62,134,149,161,173,185],"message(flows)":[19],"dominated":[20],"traffic":[21,227],"achieve":[23,167],"a":[24,37,168],"lower":[25],"average":[26,83,116,124,156,237],"flow":[27,56,63,84,117,125,150,157,238],"delay,":[28,118,158],"proactive":[30,71,97,210],"congestion":[31,72,100],"control":[32,73,101],"methods":[33,74],"give":[34],"speculative":[35,137],"packets":[36,138],"higher":[38],"priority":[39,151],"flows":[42,135,162,174,190],"are":[43,139],"scheduled":[44],"first":[45],"in":[46,141,184,219],"network.":[48,143],"However,":[49],"resulting":[51],"phenomenon":[52],"that":[53,218],"long":[55,176,189],"has":[57],"been":[58],"blocked":[59],"by":[60,231,243],"will":[64],"damage":[66],"wake":[68,87,111,194,223],"delay.":[69,88,195],"Existing":[70],"face":[75],"challenge":[77],"taking":[79],"into":[80],"account":[81],"both":[82],"delay":[85,112,126,224,239],"this":[90],"paper,":[91],"we":[92],"combine":[93],"advantages":[95],"reactive":[99],"technologies":[102],"propose":[104],"Less-Tail":[105],"Component(LTC),":[106],"which":[107],"can":[108,120,180,228,240],"effectively":[109,187],"reduce":[110,122,193],"without":[113],"affecting":[114],"further":[121],"under":[127],"uniform":[128,226],"traffic.":[129],"We":[130,144,196],"suspend":[131,160],"all":[132],"high-priority":[133],"when":[136],"congested":[140],"do":[145],"not":[146],"change":[147],"mechanism":[152],"ensure":[154],"an":[155],"occasionally":[163],"temporarily":[165],"new":[169],"dynamic":[170],"balance":[171],"between":[172],"flows.":[177],"Our":[178],"LTC":[179,203],"curb":[181],"excessive":[182],"speculation":[183],"flows,":[186],"improve":[188],"treatment":[191],"conducted":[197],"extensive":[198],"experiments":[199],"evaluate":[201],"our":[202,220],"compared":[205],"it":[206],"with":[207],"latest":[209],"reservation-based":[211],"protocol,":[212],"PCRP.":[213],"The":[214],"simulation":[215],"results":[216],"show":[217],"design,":[221],"be":[229,241],"reduced":[230,242],"up":[232,244],"21.12%,":[234],"18.97%.":[246]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
