{"id":"https://openalex.org/W4417002678","doi":"https://doi.org/10.1109/tkde.2025.3639423","title":"CMA+DB: How to Automatically Tune Database Parameters Through Collaborative Multi-Agents","display_name":"CMA+DB: How to Automatically Tune Database Parameters Through Collaborative Multi-Agents","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4417002678","doi":"https://doi.org/10.1109/tkde.2025.3639423"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2025.3639423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3639423","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5074090518","display_name":"Shaojie Qiao","orcid":"https://orcid.org/0000-0002-4703-780X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojie Qiao","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4703-780X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005313963","display_name":"Rongxing Tang","orcid":"https://orcid.org/0009-0007-1214-7084"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongmin Tang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0007-1214-7084","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiangmin Li","orcid":"https://orcid.org/0009-0001-8503-0748"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangmin Li","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0001-8503-0748","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006238145","display_name":"Yunjun Gao","orcid":"https://orcid.org/0000-0003-3816-8450"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Gao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3816-8450","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074979952","display_name":"Quanqing Xu","orcid":"https://orcid.org/0000-0001-8989-9662"},"institutions":[{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanqing Xu","raw_affiliation_strings":["OceanBase, Hangzhou, China","OceanBase"],"raw_orcid":"https://orcid.org/0000-0001-8989-9662","affiliations":[{"raw_affiliation_string":"OceanBase, Hangzhou, China","institution_ids":["https://openalex.org/I4210109544"]},{"raw_affiliation_string":"OceanBase","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092761884","display_name":"Nan Han","orcid":"https://orcid.org/0000-0003-3188-2811"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Han","raw_affiliation_strings":["School of Management, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3188-2811","affiliations":[{"raw_affiliation_string":"School of Management, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091614126","display_name":"Bangping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangping Wang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0204-4125","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038687122","display_name":"Guan Yuan","orcid":"https://orcid.org/0000-0003-3148-9817"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Yuan","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3148-9817","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-1704","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5074090518"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41823838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"3","first_page":"1560","last_page":"1574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.7189000248908997,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.7189000248908997,"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/T11106","display_name":"Data Management and Algorithms","score":0.054499998688697815,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.047600001096725464,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.7592999935150146},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5449000000953674},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49639999866485596},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4844000041484833},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.45680001378059387},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4496999979019165},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.35440000891685486},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3538999855518341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8461999893188477},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7592999935150146},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5449000000953674},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4417000114917755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.426800012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42010000348091125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3944999873638153},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C2777138346","wikidata":"https://www.wikidata.org/wiki/Q1714153","display_name":"Performance tuning","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.2678999900817871},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3639423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3639423","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1616809407","display_name":null,"funder_award_id":"CBDIS202404","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G3498767076","display_name":null,"funder_award_id":"62572078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4997149588","display_name":null,"funder_award_id":"62272066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2586079856","https://openalex.org/W2613206411","https://openalex.org/W2617547828","https://openalex.org/W2760770811","https://openalex.org/W2889252017","https://openalex.org/W2948513753","https://openalex.org/W2966185412","https://openalex.org/W2970851599","https://openalex.org/W3022085077","https://openalex.org/W3023917997","https://openalex.org/W3025775630","https://openalex.org/W3029535034","https://openalex.org/W3127201473","https://openalex.org/W3165341913","https://openalex.org/W3168955346","https://openalex.org/W3174969457","https://openalex.org/W3175552386","https://openalex.org/W3189646782","https://openalex.org/W3203329898","https://openalex.org/W3208735199","https://openalex.org/W4206343428","https://openalex.org/W4281753793","https://openalex.org/W4281972940","https://openalex.org/W4285285554","https://openalex.org/W4288057686","https://openalex.org/W4307814556","https://openalex.org/W4312274603","https://openalex.org/W4312397585","https://openalex.org/W4361216611","https://openalex.org/W4366504025"],"related_works":[],"abstract_inverted_index":{"Database":[0],"parameter":[1,138,172,188,196],"automatic":[2],"tuning":[3,139,158,189],"is":[4,155],"one":[5,111],"of":[6,57,110,161,181,193,219,237,245,254,264],"the":[7,48,55,101,108,150,162,170,179,191,210,216,223,228,235,243,246,262],"challenging":[8],"and":[9,39,76,93,134,164,195,201,266],"difficult":[10],"tasks":[11],"that":[12,127,207],"database":[13,23],"administrators":[14],"(DBAs)":[15],"frequently":[16],"encounter":[17],"in":[18,35,73,184,227,249],"artificial":[19],"intelligence":[20],"(AI)":[21],"enabled":[22],"(DB)":[24],"systems.":[25],"Preferentially":[26],"optimizing":[27],"key":[28],"parameters":[29,45,72,183],"emerges":[30],"as":[31],"a":[32,62,145,159],"critical":[33],"point":[34],"addressing":[36],"this":[37],"issue,":[38],"it":[40],"can":[41,136,177,256],"help":[42],"identify":[43],"important":[44,141],"by":[46,140,259],"exploring":[47],"interactions":[49],"between":[50],"parameters.":[51],"Aiming":[52],"to":[53,68,106,124,130,168,186],"overcome":[54],"disadvantages":[56],"existing":[58],"methods,":[59],"we":[60],"propose":[61],"collaborative":[63],"multi-agents":[64],"model":[65,176,239,268],"called":[66],"CMA+DB":[67,79,151,208,241,255],"automatically":[69],"tune":[70],"DB":[71,115,132,252],"an":[74],"effective":[75],"efficient":[77],"fashion.":[78],"integrates":[80],"three":[81],"components":[82],"including":[83],"SAPM":[84,99,238],"(Single-Agent":[85],"Pre-trained":[86],"Model),":[87,92],"MATM":[88,117,265],"(Multi-Agent":[89],"Joint":[90,96],"Training":[91,97],"PJTM":[94,135,267],"(Probability-based":[95],"Model).":[98],"applies":[100],"deep":[102,120],"deterministic":[103,121],"policy":[104,122],"gradient":[105],"explore":[107],"impact":[109],"single":[112],"agent":[113,154],"on":[114,144,231],"performance,":[116,133],"uses":[118],"multi-agent":[119],"gradients":[123],"find":[125],"agents":[126,142,166],"collaboratively":[128],"work":[129],"improve":[131],"enhance":[137],"based":[143],"probabilistic":[146],"selection":[147],"factor.":[148],"In":[149],"model,":[152],"each":[153],"responsible":[156],"for":[157],"portion":[160],"parameters,":[163],"multiple":[165],"collaborate":[167],"recommend":[169],"optimal":[171],"configuration.":[173],"This":[174],"hybrid":[175],"expand":[178],"number":[180],"tunable":[182],"order":[185],"perform":[187],"from":[190],"aspects":[192],"functions":[194],"levels":[197],"(i.e.,":[198],"global,":[199],"DB,":[200],"session":[202],"level).":[203],"Experimental":[204],"results":[205],"reveal":[206],"obtains":[209],"fastest":[211],"convergence":[212],"performance":[213,244,253],"(when":[214],"reaching":[215],"largest":[217],"throughput)":[218],"14.83%":[220],"faster":[221],"than":[222],"state-of-the-art":[224],"(SOTA)":[225],"algorithms":[226],"TPC-C":[229],"benchmark":[230],"average.":[232],"Essentially,":[233],"after":[234],"phase":[236],"training,":[240],"outperforms":[242],"SOTA":[247],"models":[248],"throughput.":[250],"Furthermore,":[251],"be":[257],"improved":[258],"1.758%":[260],"through":[261],"phases":[263],"training.":[269]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-04T00:00:00"}