{"id":"https://openalex.org/W2140109495","doi":"https://doi.org/10.1109/tac.2002.1008362","title":"Burst-level congestion control using hindsight optimization","display_name":"Burst-level congestion control using hindsight optimization","publication_year":2002,"publication_date":"2002-06-01","ids":{"openalex":"https://openalex.org/W2140109495","doi":"https://doi.org/10.1109/tac.2002.1008362","mag":"2140109495"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2002.1008362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2002.1008362","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","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/A5100600799","display_name":"Gang Wu","orcid":"https://orcid.org/0000-0002-0530-4949"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Wu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070385137","display_name":"Edwin K. P. Chong","orcid":"https://orcid.org/0000-0002-7622-4815"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E.K.P. Chong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007751369","display_name":"Robert Givan","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Givan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9189,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.80008807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"47","issue":"6","first_page":"979","last_page":"991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9994000196456909,"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":0.9994000196456909,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/hindsight-bias","display_name":"Hindsight bias","score":0.8787790536880493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5286612510681152},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.45799216628074646},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4081599712371826},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3886030912399292},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37344908714294434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2373586893081665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2223999798297882},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13077864050865173},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06152462959289551}],"concepts":[{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.8787790536880493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5286612510681152},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.45799216628074646},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4081599712371826},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3886030912399292},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37344908714294434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2373586893081665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2223999798297882},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13077864050865173},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06152462959289551},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tac.2002.1008362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2002.1008362","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.3498","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.3498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dynamo.ecn.purdue.edu/~givan/brown/papers/toac00.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.36.1098","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dynamo.ecn.purdue.edu/~givan/brown/papers/infocom00-1.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1515891729","https://openalex.org/W1531253382","https://openalex.org/W1915440099","https://openalex.org/W1988918758","https://openalex.org/W2026076901","https://openalex.org/W2035401650","https://openalex.org/W2039062850","https://openalex.org/W2045403807","https://openalex.org/W2056215075","https://openalex.org/W2064371950","https://openalex.org/W2094716670","https://openalex.org/W2096375694","https://openalex.org/W2096597645","https://openalex.org/W2098375698","https://openalex.org/W2098432798","https://openalex.org/W2101710427","https://openalex.org/W2110398403","https://openalex.org/W2110469103","https://openalex.org/W2113439245","https://openalex.org/W2113439731","https://openalex.org/W2113927241","https://openalex.org/W2114135575","https://openalex.org/W2120938471","https://openalex.org/W2121510411","https://openalex.org/W2122745457","https://openalex.org/W2123878303","https://openalex.org/W2125838338","https://openalex.org/W2127717883","https://openalex.org/W2131858726","https://openalex.org/W2142090496","https://openalex.org/W2146737976","https://openalex.org/W2151042211","https://openalex.org/W2155952380","https://openalex.org/W2156296037","https://openalex.org/W2162780427","https://openalex.org/W2567137345","https://openalex.org/W2792298817","https://openalex.org/W3013672175","https://openalex.org/W3016548437","https://openalex.org/W4376537957"],"related_works":["https://openalex.org/W3197854638","https://openalex.org/W3140454661","https://openalex.org/W4245029315","https://openalex.org/W2139970489","https://openalex.org/W1492315459","https://openalex.org/W1512434910","https://openalex.org/W2540910169","https://openalex.org/W3089780453","https://openalex.org/W3148904318","https://openalex.org/W2022803902"],"abstract_inverted_index":{"We":[0,75,122],"consider":[1],"the":[2,62,72,94,140,147],"burst-level":[3],"congestion-control":[4,79,129,150],"problem":[5,103],"in":[6],"a":[7,17,28,38,49,58,68,77,107,117,124],"communication":[8],"network":[9],"with":[10,32],"multiple":[11],"traffic":[12,26,35,89],"sources,":[13],"each":[14],"modeled":[15],"as":[16,106],"fully":[18],"controllable":[19],"stream":[20],"of":[21,61,82,93,98,127],"fluid":[22,40],"traffic.":[23],"The":[24,53,101],"controlled":[25,43],"shares":[27],"common":[29],"bottleneck":[30,73],"node":[31],"high-priority":[33],"cross":[34,88],"described":[36],"by":[37,90],"Markov-modulated":[39],"(MMF).":[41],"Each":[42],"source":[44],"is":[45,55,104,113],"assumed":[46],"to":[47,56],"have":[48],"unique":[50],"round-trip":[51],"delay.":[52],"goal":[54],"maximize":[57],"linear":[59],"combination":[60],"throughput,":[63],"delay,":[64],"traffic-loss":[65],"rate,":[66],"and":[67,112],"fairness":[69],"metric":[70],"at":[71],"node.":[74],"introduce":[76],"simulation-based":[78],"scheme":[80,142],"capable":[81],"performing":[83],"effectively":[84],"under":[85],"rapidly":[86],"varying":[87],"making":[91],"use":[92],"provided":[95],"MMF":[96],"model":[97],"that":[99,139],"variation.":[100],"control":[102,141],"posed":[105],"finite-horizon":[108],"Markov":[109],"decision":[110],"process,":[111],"solved":[114],"heuristically":[115],"using":[116],"technique":[118],"called":[119],"hindsight":[120],"optimization.":[121],"provide":[123],"detailed":[125],"derivation":[126],"our":[128],"algorithm":[130],"based":[131],"on":[132],"this":[133],"technique.":[134],"Our":[135],"empirical":[136],"study":[137],"shows":[138],"performs":[143],"significantly":[144],"better":[145],"than":[146],"conventional":[148],"proportional-derivative":[149],"method.":[151]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
