{"id":"https://openalex.org/W2103702871","doi":"https://doi.org/10.14778/2536206.2536219","title":"Towards predicting query execution time for concurrent and dynamic database workloads","display_name":"Towards predicting query execution time for concurrent and dynamic database workloads","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2103702871","doi":"https://doi.org/10.14778/2536206.2536219","mag":"2103702871"},"language":"en","primary_location":{"id":"doi:10.14778/2536206.2536219","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2536206.2536219","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Proceedings of the VLDB Endowment","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/A5101957550","display_name":"Wentao Wu","orcid":"https://orcid.org/0000-0001-6856-3115"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wentao Wu","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin-Madison","Dept. of Computer Sciences, University of Wisconsin Madison#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Dept. of Computer Sciences, University of Wisconsin Madison#TAB#","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075969864","display_name":"Y\u00fcn Chi","orcid":"https://orcid.org/0000-0002-8441-3974"},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Chi","raw_affiliation_strings":["NEC Laboratories America"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America","institution_ids":["https://openalex.org/I4210107353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014062628","display_name":"Hakan Hac\u00edg\u00fcm\u00fc\u015f","orcid":"https://orcid.org/0009-0005-2885-8695"},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hakan Hac\u00edg\u00fcm\u00fc\u015f","raw_affiliation_strings":["NEC Laboratories America"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America","institution_ids":["https://openalex.org/I4210107353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017678555","display_name":"Jeffrey F. Naughton","orcid":"https://orcid.org/0000-0002-3710-8096"},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey F. Naughton","raw_affiliation_strings":["NEC Laboratories America"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America","institution_ids":["https://openalex.org/I4210107353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101957550"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":8.6709,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.97933202,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"6","issue":"10","first_page":"925","last_page":"936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994999766349792,"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":0.9994999766349792,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9973999857902527,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8917937278747559},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.5745136737823486},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5441755056381226},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5139738917350769},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4994072914123535},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4944891929626465},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.477313369512558},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4601060152053833},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.42606014013290405},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.39042341709136963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37235474586486816},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32174861431121826},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.25307226181030273},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.23270124197006226},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.15145906805992126},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12582838535308838},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1109578013420105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8917937278747559},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.5745136737823486},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5441755056381226},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5139738917350769},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4994072914123535},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4944891929626465},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.477313369512558},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4601060152053833},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.42606014013290405},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.39042341709136963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37235474586486816},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32174861431121826},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.25307226181030273},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.23270124197006226},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.15145906805992126},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12582838535308838},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1109578013420105},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.14778/2536206.2536219","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2536206.2536219","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.406.629","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/vol6/p925-wu.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.414.8974","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.8974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/~wentaowu/papers/vldb13-prediction-cc.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.414.9837","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.9837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/~wentaowu/papers/prediction-cc-full.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W11135144","https://openalex.org/W1537563624","https://openalex.org/W1554130893","https://openalex.org/W1588424744","https://openalex.org/W1766499933","https://openalex.org/W1972539129","https://openalex.org/W1978006658","https://openalex.org/W2010149990","https://openalex.org/W2019999249","https://openalex.org/W2022322228","https://openalex.org/W2026965159","https://openalex.org/W2035095545","https://openalex.org/W2057545667","https://openalex.org/W2058092827","https://openalex.org/W2070493638","https://openalex.org/W2081728040","https://openalex.org/W2086395677","https://openalex.org/W2088266288","https://openalex.org/W2100773341","https://openalex.org/W2109907545","https://openalex.org/W2111119607","https://openalex.org/W2119414841","https://openalex.org/W2120451551","https://openalex.org/W2125514439","https://openalex.org/W2128420091","https://openalex.org/W2133990480","https://openalex.org/W2138194829","https://openalex.org/W2146732261","https://openalex.org/W2153231596","https://openalex.org/W2158237121","https://openalex.org/W2167978511","https://openalex.org/W2189610900","https://openalex.org/W4285719527","https://openalex.org/W6634941687"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W2006459955","https://openalex.org/W2554271401","https://openalex.org/W2992414350","https://openalex.org/W185198413","https://openalex.org/W203907944","https://openalex.org/W2955368753","https://openalex.org/W2034583622","https://openalex.org/W1971797742","https://openalex.org/W4386051213"],"abstract_inverted_index":{"Predicting":[0],"query":[1,14,84,119],"execution":[2,85],"time":[3,86],"is":[4,91,158],"crucial":[5],"for":[6,38,44,114],"many":[7],"database":[8],"management":[9],"tasks":[10],"including":[11],"admission":[12],"control,":[13],"scheduling,":[15],"and":[16,64,111,122,129,137,176],"progress":[17],"monitoring.":[18],"While":[19],"a":[20,39,45,125,153,159],"number":[21],"of":[22,31,48,75,117,161],"recent":[23],"papers":[24],"have":[25],"explored":[26],"this":[27,67],"problem,":[28],"the":[29,32,57,71,103,109,135,149],"bulk":[30],"existing":[33],"work":[34,82],"either":[35],"considers":[36],"prediction":[37,43,179],"single":[40],"query,":[41],"or":[42],"static":[46],"workload":[47],"concurrent":[49,77,141],"queries,":[50],"where":[51],"by":[52],"\"static\"":[53],"we":[54,69],"mean":[55],"that":[56,133,157,167],"queries":[58,142],"to":[59,107,143,174],"be":[60],"run":[61],"are":[62],"fixed":[63],"known.":[65],"In":[66],"paper,":[68],"consider":[70],"more":[72],"general":[73],"problem":[74],"dynamic":[76],"workloads.":[78],"Unlike":[79],"most":[80],"previous":[81,162],"on":[83,93],"prediction,":[87],"our":[88,168],"proposed":[89,150],"framework":[90],"based":[92,155,170,184],"analytic":[94],"modeling":[95],"rather":[96],"than":[97,181],"machine":[98],"learning.":[99],"We":[100,147],"first":[101],"use":[102,124],"optimizer's":[104],"cost":[105],"model":[106,128,132],"estimate":[108],"I/O":[110,136],"CPU":[112,138],"requirements":[113],"each":[115,118],"pipeline":[116],"in":[120],"isolation,":[121],"then":[123],"combination":[126],"queueing":[127],"buffer":[130],"pool":[131],"merges":[134],"requests":[139],"from":[140],"predict":[144],"running":[145],"times.":[146],"compare":[148],"approach":[151,156,171],"with":[152],"machine-learning":[154,183],"variant":[160],"work.":[163],"Our":[164],"experiments":[165],"show":[166],"analytic-model":[169],"can":[172],"lead":[173],"competitive":[175],"often":[177],"better":[178],"accuracy":[180],"its":[182],"counterpart.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
