{"id":"https://openalex.org/W3154552531","doi":"https://doi.org/10.1109/infocom42981.2021.9488851","title":"Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning","display_name":"Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3154552531","doi":"https://doi.org/10.1109/infocom42981.2021.9488851","mag":"3154552531"},"language":"en","primary_location":{"id":"doi:10.1109/infocom42981.2021.9488851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","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/A5011246061","display_name":"Alessio Sacco","orcid":"https://orcid.org/0000-0003-2835-5455"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessio Sacco","raw_affiliation_strings":["Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013719009","display_name":"Matteo Flocco","orcid":null},"institutions":[{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Flocco","raw_affiliation_strings":["Saint Louis University, USA"],"affiliations":[{"raw_affiliation_string":"Saint Louis University, USA","institution_ids":["https://openalex.org/I47838141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055238253","display_name":"Flavio Esposito","orcid":"https://orcid.org/0000-0002-7798-4584"},"institutions":[{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Flavio Esposito","raw_affiliation_strings":["Saint Louis University, USA"],"affiliations":[{"raw_affiliation_string":"Saint Louis University, USA","institution_ids":["https://openalex.org/I47838141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010269472","display_name":"Guido Marchetto","orcid":"https://orcid.org/0000-0003-3588-9367"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Marchetto","raw_affiliation_strings":["Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011246061"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":3.8204,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93453169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998000264167786,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998000264167786,"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":0.9997000098228455,"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/T10847","display_name":"Advanced Optical Network Technologies","score":0.9965000152587891,"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/network-congestion","display_name":"Network congestion","score":0.8337838649749756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7980496883392334},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7469847202301025},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6223331689834595},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5710696578025818},{"id":"https://openalex.org/keywords/slow-start","display_name":"Slow-start","score":0.5282926559448242},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5114206671714783},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46809104084968567},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4640025496482849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2882741689682007},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.06259599328041077}],"concepts":[{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.8337838649749756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980496883392334},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7469847202301025},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6223331689834595},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5710696578025818},{"id":"https://openalex.org/C15195413","wikidata":"https://www.wikidata.org/wiki/Q2835766","display_name":"Slow-start","level":4,"score":0.5282926559448242},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5114206671714783},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46809104084968567},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4640025496482849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2882741689682007},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.06259599328041077},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom42981.2021.9488851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","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":52,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1515851193","https://openalex.org/W1567891849","https://openalex.org/W1694165248","https://openalex.org/W1772688858","https://openalex.org/W1970131865","https://openalex.org/W1988975763","https://openalex.org/W1994581228","https://openalex.org/W2010925404","https://openalex.org/W2022548994","https://openalex.org/W2022844530","https://openalex.org/W2042171995","https://openalex.org/W2050600889","https://openalex.org/W2088879777","https://openalex.org/W2101182788","https://openalex.org/W2101871381","https://openalex.org/W2105514976","https://openalex.org/W2111281854","https://openalex.org/W2123547142","https://openalex.org/W2125478902","https://openalex.org/W2145339207","https://openalex.org/W2153486199","https://openalex.org/W2153771889","https://openalex.org/W2163038493","https://openalex.org/W2163112974","https://openalex.org/W2164740236","https://openalex.org/W2289288280","https://openalex.org/W2294141577","https://openalex.org/W2508010543","https://openalex.org/W2540285146","https://openalex.org/W2798776137","https://openalex.org/W2799263993","https://openalex.org/W2801358835","https://openalex.org/W2809684781","https://openalex.org/W2885268922","https://openalex.org/W2885982708","https://openalex.org/W2887715205","https://openalex.org/W2946348792","https://openalex.org/W3009428736","https://openalex.org/W3012336636","https://openalex.org/W3016712945","https://openalex.org/W3138562521","https://openalex.org/W3161213569","https://openalex.org/W3163599366","https://openalex.org/W4214836820","https://openalex.org/W6637388848","https://openalex.org/W6638163082","https://openalex.org/W6684260611","https://openalex.org/W6750761875","https://openalex.org/W6753859785","https://openalex.org/W6762728350","https://openalex.org/W6768394718"],"related_works":["https://openalex.org/W2355205438","https://openalex.org/W2369428326","https://openalex.org/W2356339667","https://openalex.org/W2398114535","https://openalex.org/W3199463238","https://openalex.org/W2152957590","https://openalex.org/W2915792401","https://openalex.org/W2391249904","https://openalex.org/W2373632569","https://openalex.org/W2918553411"],"abstract_inverted_index":{"Years":[0],"of":[1,24],"research":[2],"on":[3,65,118],"transport":[4,45,62],"protocols":[5,46],"have":[6],"not":[7],"solved":[8],"the":[9,22,39,73,98],"tussle":[10],"between":[11],"in-network":[12,121],"and":[13,26,81,107],"end-to-end":[14,54,79,119],"congestion":[15,75,122],"control.":[16,123],"This":[17],"debate":[18],"is":[19,70],"due":[20],"to":[21,53,71,92],"variance":[23],"conditions":[25],"assumptions":[27],"in":[28],"different":[29],"network":[30,82,111],"scenarios,":[31],"e.g.,":[32],"cellular":[33],"versus":[34],"data":[35],"center":[36],"networks.":[37],"Recently,":[38],"community":[40],"has":[41],"proposed":[42],"a":[43,61,93],"few":[44],"driven":[47],"by":[48],"machine":[49],"learning,":[50,67],"nonetheless":[51],"limited":[52],"approaches.In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"Owl,":[60],"protocol":[63],"based":[64,117],"reinforcement":[66],"whose":[68],"goal":[69],"select":[72],"proper":[74],"window":[76],"learning":[77,99],"from":[78],"features":[80],"signals,":[83],"when":[84],"available.":[85],"We":[86],"show":[87],"that":[88],"our":[89],"solution":[90],"converges":[91],"fair":[94],"resource":[95],"allocation":[96],"after":[97],"overhead.":[100],"Our":[101],"kernel":[102],"implementation,":[103],"deployed":[104],"over":[105],"emulated":[106],"large":[108],"scale":[109],"virtual":[110],"testbeds,":[112],"outperforms":[113],"all":[114],"benchmark":[115],"solutions":[116],"or":[120]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}