{"id":"https://openalex.org/W4281754544","doi":"https://doi.org/10.1145/3542700.3542703","title":"Bao","display_name":"Bao","publication_year":2022,"publication_date":"2022-05-31","ids":{"openalex":"https://openalex.org/W4281754544","doi":"https://doi.org/10.1145/3542700.3542703"},"language":"en","primary_location":{"id":"doi:10.1145/3542700.3542703","doi":"https://doi.org/10.1145/3542700.3542703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3542700.3542703","pdf_url":null,"source":{"id":"https://openalex.org/S47508943","display_name":"ACM SIGMOD Record","issn_l":"0163-5808","issn":["0163-5808","1943-5835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMOD Record","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5025731013","display_name":"Ryan Marcus","orcid":"https://orcid.org/0000-0002-1279-1124","observed_orcids":["https://orcid.org/0000-0002-1279-1124"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Marcus","raw_affiliation_strings":["MIT CSAIL, Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Intel Labs","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018121640","display_name":"Parimarjan Negi","orcid":"https://orcid.org/0000-0002-8442-9159","observed_orcids":["https://orcid.org/0000-0002-8442-9159"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parimarjan Negi","raw_affiliation_strings":["MIT CSAIL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004578457","display_name":"Hongzi Mao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzi Mao","raw_affiliation_strings":["MIT CSAIL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002085554","display_name":"Nesime Tatbul","orcid":"https://orcid.org/0000-0002-0416-7022","observed_orcids":["https://orcid.org/0000-0002-0416-7022"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nesime Tatbul","raw_affiliation_strings":["MIT CSAIL, Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Intel Labs","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101669321","display_name":"Mohammad Alizadeh","orcid":"https://orcid.org/0000-0002-0014-6742","observed_orcids":["https://orcid.org/0000-0002-0014-6742","https://orcid.org/0000-0002-6650-8961","https://orcid.org/0000-0001-6977-3851"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Alizadeh","raw_affiliation_strings":["MIT CSAIL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034086130","display_name":"Tim Kraska","orcid":"https://orcid.org/0009-0003-2414-2759","observed_orcids":["https://orcid.org/0009-0003-2414-2759"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tim Kraska","raw_affiliation_strings":["MIT CSAIL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.238,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.97145702,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"51","issue":"1","first_page":"6","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.975600004196167,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.975600004196167,"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/T11106","display_name":"Data Management and Algorithms","score":0.0032999999821186066,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/query-optimization","display_name":"query optimization","score":0.9729999899864197},{"id":"https://openalex.org/keywords/bao","display_name":"BaO","score":0.4819999933242798},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.9409999847412109},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.7480000257492065},{"id":"https://openalex.org/keywords/tail-latency","display_name":"tail latency","score":0.9160000085830688},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"cloud computing","score":0.3190000057220459},{"id":"https://openalex.org/keywords/query-workload","display_name":"query workload","score":0.4970000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.917705774307251},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6561532020568848},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6187025904655457},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5493324995040894},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5433226227760315},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4797985851764679},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.471851110458374},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4568733274936676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124377369880676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38515669107437134},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3077104091644287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2769728899002075},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2455776333808899},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.19533464312553406},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12187990546226501},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3542700.3542703","doi":"https://doi.org/10.1145/3542700.3542703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3542700.3542703","pdf_url":null,"source":{"id":"https://openalex.org/S47508943","display_name":"ACM SIGMOD Record","issn_l":"0163-5808","issn":["0163-5808","1943-5835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMOD Record","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1944205345","https://openalex.org/W2039522160","https://openalex.org/W2060818668","https://openalex.org/W2175806766","https://openalex.org/W2396309311","https://openalex.org/W2773466258","https://openalex.org/W2785612209","https://openalex.org/W2801200039","https://openalex.org/W2884810024","https://openalex.org/W2885801653","https://openalex.org/W2906910993","https://openalex.org/W2924309908","https://openalex.org/W2944240329","https://openalex.org/W2946246678","https://openalex.org/W2948177721","https://openalex.org/W2991530444","https://openalex.org/W2998249308","https://openalex.org/W3024738030","https://openalex.org/W3033337213","https://openalex.org/W3097225903","https://openalex.org/W3176153696","https://openalex.org/W3176550827","https://openalex.org/W4232672600","https://openalex.org/W4372267129","https://openalex.org/W6601502966","https://openalex.org/W6767380340"],"related_works":["https://openalex.org/W3176153696","https://openalex.org/W4221142004","https://openalex.org/W7213243865","https://openalex.org/W4395456750","https://openalex.org/W4413978051","https://openalex.org/W4366492480","https://openalex.org/W4417070540","https://openalex.org/W4379261288","https://openalex.org/W2970148517","https://openalex.org/W4405441395"],"abstract_inverted_index":{"Recent":[0],"efforts":[1],"applying":[2],"machine":[3],"learning":[4,67],"techniques":[5],"to":[6,15,20,22,80],"query":[7,47,83,100],"optimization":[8,52],"have":[9],"shown":[10],"few":[11],"practical":[12],"gains":[13],"due":[14],"substantive":[16],"training":[17],"overhead,":[18],"inability":[19],"adapt":[21],"changes,":[23],"and":[24,78,86,124],"poor":[25],"tail":[26,104],"performance.":[27],"Motivated":[28],"by":[29,49],"these":[30],"difficulties,":[31],"we":[32,89,115],"introduce":[33],"Bao":[34,38,54,72,92,118],"(the":[35],"Bandit":[36],"optimizer).":[37],"takes":[39],"advantage":[40],"of":[41],"the":[42],"wisdom":[43],"built":[44],"into":[45],"existing":[46],"optimizers":[48],"providing":[50],"per-query":[51],"hints.":[53],"combines":[55],"modern":[56],"tree":[57],"convolutional":[58],"neural":[59],"networks":[60],"with":[61,128],"Thompson":[62],"sampling,":[63],"a":[64,70,129],"well-studied":[65],"reinforcement":[66],"algorithm.":[68],"As":[69],"result,":[71],"automatically":[73],"learns":[74],"from":[75],"its":[76],"mistakes":[77],"adapts":[79],"changes":[81],"in":[82],"workloads,":[84],"data,":[85],"schema.":[87],"Experimentally,":[88],"demonstrate":[90],"that":[91,97,117],"can":[93,119],"quickly":[94],"learn":[95],"strategies":[96],"improve":[98],"end-to-end":[99],"execution":[101],"performance,":[102],"including":[103],"latency,":[105],"for":[106],"several":[107],"workloads":[108],"containing":[109],"longrunning":[110],"queries.":[111],"In":[112],"cloud":[113],"environments,":[114],"show":[116],"offer":[120],"both":[121],"reduced":[122],"costs":[123],"better":[125],"performance":[126],"compared":[127],"commercial":[130],"system.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-06-13T00:00:00"}