{"id":"https://openalex.org/W4392605635","doi":"https://doi.org/10.1145/3640824.3640869","title":"Tuning Database Parameters Using Query Perception and Evolutionary Reinforcement Learning","display_name":"Tuning Database Parameters Using Query Perception and Evolutionary Reinforcement Learning","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4392605635","doi":"https://doi.org/10.1145/3640824.3640869"},"language":"en","primary_location":{"id":"doi:10.1145/3640824.3640869","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640824.3640869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 8th International Conference on Control Engineering and Artificial Intelligence","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/A5033473567","display_name":"Zhenxun Zhao","orcid":"https://orcid.org/0009-0001-5716-8766"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zunhan Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0001-5716-8766","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461052","display_name":"Wen Ye","orcid":"https://orcid.org/0000-0003-0002-8081"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Ye","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-0002-8081","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065040971","display_name":"Peiyu Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyu Duan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0005-1270-9169","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033473567"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02058527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9901000261306763,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.7876218557357788},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7244300842285156},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.6008291840553284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46993762254714966},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46242302656173706},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.44484055042266846},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.4395189881324768},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4217830002307892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3456372022628784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32138577103614807},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3142277002334595},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.19638091325759888},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1610739529132843},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07142984867095947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876218557357788},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7244300842285156},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6008291840553284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46993762254714966},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46242302656173706},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.44484055042266846},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.4395189881324768},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4217830002307892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3456372022628784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32138577103614807},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3142277002334595},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.19638091325759888},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1610739529132843},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07142984867095947},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640824.3640869","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640824.3640869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 8th International Conference on Control Engineering and Artificial Intelligence","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":21,"referenced_works":["https://openalex.org/W2064449033","https://openalex.org/W2135046866","https://openalex.org/W2150630976","https://openalex.org/W2192203593","https://openalex.org/W2613206411","https://openalex.org/W2662297521","https://openalex.org/W2760770811","https://openalex.org/W2948513753","https://openalex.org/W2970851599","https://openalex.org/W2992296379","https://openalex.org/W3012066402","https://openalex.org/W3012109984","https://openalex.org/W3025775630","https://openalex.org/W3029535034","https://openalex.org/W3032789239","https://openalex.org/W3033036590","https://openalex.org/W3098844916","https://openalex.org/W3139827290","https://openalex.org/W3173850788","https://openalex.org/W4255544860","https://openalex.org/W4366504025"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2184296057","https://openalex.org/W2889903446","https://openalex.org/W3125756434","https://openalex.org/W2150741898","https://openalex.org/W185198413","https://openalex.org/W2186703450","https://openalex.org/W4381740310","https://openalex.org/W175663584","https://openalex.org/W2970853428"],"abstract_inverted_index":{"Database":[0,11],"systems":[1],"serves":[2],"as":[3,47],"powerful":[4],"tools":[5],"for":[6,56],"managing":[7],"big":[8],"data.":[9],"Within":[10],"Management":[12],"System":[13],"(DBMS),":[14],"hundreds":[15],"of":[16,21,28,70],"parameters":[17,30],"impact":[18],"the":[19],"performance":[20],"database":[22,58],"system.":[23],"Reasonable":[24],"configuration":[25],"and":[26,39,50,79],"optimization":[27],"these":[29,61],"is":[31],"a":[32],"proven":[33],"way":[34],"to":[35],"increase":[36],"system":[37],"throughput":[38],"reduce":[40],"query":[41],"latency.":[42],"Machine":[43],"learning":[44,49],"methods":[45],"such":[46],"reinforcement":[48],"Gaussian":[51],"processes":[52],"have":[53],"been":[54],"employed":[55],"tuning":[57],"parameters.":[59],"However,":[60],"approaches":[62],"suffer":[63],"from":[64],"dependence":[65],"on":[66],"training":[67,77],"benchmarks,":[68],"challenges":[69],"regression":[71],"analysis":[72],"in":[73,81],"high-dimensional":[74],"spaces,":[75],"extended":[76],"times":[78],"difficulties":[80],"finding":[82],"optimal":[83],"solutions.":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
