{"id":"https://openalex.org/W3037027022","doi":"https://doi.org/10.14778/3397230.3397238","title":"Query performance prediction for concurrent queries using graph embedding","display_name":"Query performance prediction for concurrent queries using graph embedding","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3037027022","doi":"https://doi.org/10.14778/3397230.3397238","mag":"3037027022"},"language":"en","primary_location":{"id":"doi:10.14778/3397230.3397238","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3397230.3397238","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/A5056912386","display_name":"Xuanhe Zhou","orcid":"https://orcid.org/0000-0002-2285-7836"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanhe Zhou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101588053","display_name":"Ji Sun","orcid":"https://orcid.org/0000-0002-9782-7201"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Sun","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100951661","display_name":"Jianhua Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Feng","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":11.9728,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98541313,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"13","issue":"9","first_page":"1416","last_page":"1428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.996399998664856,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.996399998664856,"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":0.9961000084877014,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9959999918937683,"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":0.8670094013214111},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.5516124367713928},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.45500609278678894},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4476197063922882},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4260198175907135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4216090440750122},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4174646735191345},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.402897447347641},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.33108216524124146},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2480173110961914},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.23519670963287354},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.16616442799568176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8670094013214111},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.5516124367713928},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.45500609278678894},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4476197063922882},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4260198175907135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4216090440750122},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4174646735191345},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.402897447347641},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.33108216524124146},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2480173110961914},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.23519670963287354},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.16616442799568176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3397230.3397238","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3397230.3397238","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W54761857","https://openalex.org/W117630655","https://openalex.org/W1596568456","https://openalex.org/W1662382123","https://openalex.org/W1893414835","https://openalex.org/W2010149990","https://openalex.org/W2057545667","https://openalex.org/W2081728040","https://openalex.org/W2100773341","https://openalex.org/W2103702871","https://openalex.org/W2109907545","https://openalex.org/W2116341502","https://openalex.org/W2125514439","https://openalex.org/W2132375650","https://openalex.org/W2148603752","https://openalex.org/W2150606131","https://openalex.org/W2153513200","https://openalex.org/W2167978511","https://openalex.org/W2212047990","https://openalex.org/W2247645225","https://openalex.org/W2396309311","https://openalex.org/W2519887557","https://openalex.org/W2614759802","https://openalex.org/W2792402990","https://openalex.org/W2792538726","https://openalex.org/W2808987817","https://openalex.org/W2911464154","https://openalex.org/W2953251974","https://openalex.org/W2962844340","https://openalex.org/W2964311892","https://openalex.org/W2970851599","https://openalex.org/W2998249308","https://openalex.org/W3105138464","https://openalex.org/W3105457604","https://openalex.org/W3105820654","https://openalex.org/W4255671299","https://openalex.org/W6602266264","https://openalex.org/W6677316912","https://openalex.org/W6683289300","https://openalex.org/W6749368518","https://openalex.org/W6749578362","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W2006459955","https://openalex.org/W2096359267","https://openalex.org/W185198413","https://openalex.org/W2034583622","https://openalex.org/W203907944","https://openalex.org/W1971797742","https://openalex.org/W4386051213","https://openalex.org/W2889903446","https://openalex.org/W2566063947"],"abstract_inverted_index":{"Query":[0],"performance":[1,21,31,60,83,158],"prediction":[2,61,84,135,153],"is":[3,37,79,102],"vital":[4],"to":[5,40,95,145,155,175,177],"many":[6],"database":[7,10],"tasks":[8],"(e.g.,":[9],"monitoring":[11],"and":[12,50,112,150,172,188],"query":[13,25,97,107,111,157],"scheduling).":[14],"Existing":[15],"methods":[16],"focus":[17],"on":[18,185],"predicting":[19],"the":[20,30,42,73,80,106,119,125,147,196],"for":[22,32,63,86],"a":[23,59,67,92,103,110,134,141,152,169],"single":[24],"but":[26],"cannot":[27],"effectively":[28],"predict":[29,156],"concurrent":[33,64,87],"queries,":[34,46],"because":[35],"it":[36],"rather":[38],"hard":[39],"capture":[41],"correlations":[43,120],"between":[44,115,121],"different":[45],"e.g.,":[47,123],"lock":[48],"conflict":[49],"buffer":[51],"sharing.":[52],"To":[53,72],"address":[54],"this":[55,78],"problem,":[56],"we":[57,139,167],"propose":[58,91,133,168],"system":[62],"queries":[65],"using":[66,159],"graph":[68,93,142,148,170],"embedding":[69,143],"based":[70],"model.":[71],"best":[74],"of":[75,109],"our":[76,193],"knowledge,":[77],"first":[81,90],"graph-embedding-based":[82],"model":[85,94],"queries.":[88],"We":[89,131,180],"encode":[96,146],"features,":[98],"where":[99],"each":[100,113],"vertex":[101],"node":[104],"in":[105,137],"plan":[108],"edge":[114],"two":[116],"vertices":[117],"denotes":[118],"them,":[122],"sharing":[124],"same":[126],"table/index":[127],"or":[128],"competing":[129],"resources.":[130],"then":[132],"model,":[136],"which":[138],"use":[140],"network":[144,154],"features":[149],"adopt":[151],"deep":[160],"learning.":[161],"Since":[162],"workloads":[163],"may":[164],"dynamically":[165],"change,":[166],"update":[171],"compaction":[173],"algorithm":[174],"adapt":[176],"workload":[178],"changes.":[179],"have":[181],"conducted":[182],"extensive":[183],"experiments":[184],"real-world":[186],"datasets,":[187],"experimental":[189],"results":[190],"showed":[191],"that":[192],"method":[194],"outperformed":[195],"state-of-the-art":[197],"approaches.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
