{"id":"https://openalex.org/W4386768645","doi":"https://doi.org/10.14778/3611540.3611550","title":"FEBench: A Benchmark for Real-Time Relational Data Feature Extraction","display_name":"FEBench: A Benchmark for Real-Time Relational Data Feature Extraction","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4386768645","doi":"https://doi.org/10.14778/3611540.3611550"},"language":"en","primary_location":{"id":"doi:10.14778/3611540.3611550","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3611540.3611550","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420564","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-8767-7895"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088703050","display_name":"Kunyi Li","orcid":"https://orcid.org/0000-0001-5089-2543"},"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":"Kunyi Li","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039946576","display_name":"Bingsheng He","orcid":"https://orcid.org/0000-0001-8618-4581"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bingsheng He","raw_affiliation_strings":["National Univ. of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Univ. of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103114808","display_name":"Mian Lu","orcid":"https://orcid.org/0009-0002-4853-8881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mian Lu","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111040623","display_name":"Qiaosheng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiaosheng Liu","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352881","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-7004-6408"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"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, Zhongguancun Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Zhongguancun Laboratory","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007396467","display_name":"Zheng Zhao","orcid":"https://orcid.org/0000-0001-9586-268X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Zheng","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046260304","display_name":"Yuqiang Chen","orcid":"https://orcid.org/0000-0002-5543-2500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqiang Chen","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9441,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78174793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"12","first_page":"3597","last_page":"3609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9984999895095825,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9968000054359436,"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":0.8843728303909302},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5728751420974731},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5711652040481567},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5472356081008911},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5042937994003296},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4601057767868042},{"id":"https://openalex.org/keywords/relational-database-management-system","display_name":"Relational database management system","score":0.45549851655960083},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.45465564727783203},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4338746666908264},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4130290150642395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23779228329658508},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10019460320472717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8843728303909302},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5728751420974731},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5711652040481567},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5472356081008911},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5042937994003296},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4601057767868042},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.45549851655960083},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.45465564727783203},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4338746666908264},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4130290150642395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23779228329658508},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10019460320472717},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3611540.3611550","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3611540.3611550","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W15592790","https://openalex.org/W1485955713","https://openalex.org/W1602011302","https://openalex.org/W2013062050","https://openalex.org/W2025605741","https://openalex.org/W2068245803","https://openalex.org/W2082621278","https://openalex.org/W2083780116","https://openalex.org/W2090330503","https://openalex.org/W2147500650","https://openalex.org/W2240667924","https://openalex.org/W2294546257","https://openalex.org/W2328176404","https://openalex.org/W2396309311","https://openalex.org/W2566979091","https://openalex.org/W2614659073","https://openalex.org/W2791315675","https://openalex.org/W2899743487","https://openalex.org/W2916596859","https://openalex.org/W2963832024","https://openalex.org/W2998249308","https://openalex.org/W3013126717","https://openalex.org/W3025775630","https://openalex.org/W3119448165","https://openalex.org/W3136905682","https://openalex.org/W3173850788","https://openalex.org/W3196849431","https://openalex.org/W4205381461","https://openalex.org/W4229050510","https://openalex.org/W4248571318","https://openalex.org/W4288310158","https://openalex.org/W4317641620","https://openalex.org/W4381621971","https://openalex.org/W6644516687","https://openalex.org/W6651775274","https://openalex.org/W6739511463","https://openalex.org/W6755960066","https://openalex.org/W6856547553"],"related_works":["https://openalex.org/W119841348","https://openalex.org/W2505630977","https://openalex.org/W2383709723","https://openalex.org/W2171948294","https://openalex.org/W1567213510","https://openalex.org/W2626533837","https://openalex.org/W316061934","https://openalex.org/W4312445213","https://openalex.org/W2375584934","https://openalex.org/W1575529579"],"abstract_inverted_index":{"As":[0],"the":[1,32,63,90,116,153,183],"use":[2,179],"of":[3,60,128,167,185,205],"online":[4,175],"AI":[5],"inference":[6],"services":[7],"rapidly":[8],"expands":[9],"in":[10,16,20,39,72,83,126,203],"various":[11],"applications":[12],"(e.g.,":[13,80],"fraud":[14],"detection":[15],"banking,":[17],"product":[18],"recommendation":[19],"e-commerce),":[21],"real-time":[22],"feature":[23,146,186],"extraction":[24,147,187],"(RTFE)":[25],"systems":[26,188],"have":[27],"been":[28],"developed":[29],"to":[30,43,142,181],"compute":[31],"requested":[33],"features":[34],"from":[35,100,111],"incoming":[36],"data":[37],"tuples":[38],"ultra-low":[40],"latency.":[41],"Similar":[42],"relational":[44],"databases,":[45],"these":[46,138],"RTFE":[47,91,120],"procedures":[48],"can":[49],"be":[50],"expressed":[51],"using":[52,94],"SQL-like":[53],"languages.":[54],"However,":[55],"there":[56],"is":[57],"a":[58,144,158],"lack":[59],"research":[61],"on":[62,137,152],"workload":[64,92],"characteristics":[65,93],"and":[66,78,109,122,133,173,191,193,201,210],"specialized":[67],"benchmarks":[68,79,125],"for":[69,157],"RTFE,":[70],"especially":[71],"comparison":[73],"with":[74],"existing":[75,123],"database":[76,124],"workloads":[77,121],"concurrent":[81],"transactions":[82],"TPC-C).":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,140],"study":[89,114],"over":[95],"one":[96],"hundred":[97],"real":[98],"datasets":[99],"open":[101],"repositories":[102],"(e.g.":[103],"Kaggle,":[104],"Tianchi,":[105],"UCI":[106],"ML,":[107],"KiltHub)":[108],"those":[110],"4Paradigm.":[112],"The":[113],"highlights":[115],"significant":[117],"differences":[118],"between":[119],"terms":[127,204],"application":[129],"scenarios,":[130],"operator":[131],"distributions,":[132],"query":[134,171],"structures.":[135],"Based":[136],"findings,":[139],"propose":[141],"develop":[143],"realtime":[145],"benchmark":[148,160],"named":[149],"FEBench":[150,165,180],"based":[151],"four":[154],"important":[155],"criteria":[156],"domain-specific":[159],"proposed":[161],"by":[162],"Jim":[163],"Gray.":[164],"consists":[166],"selected":[168],"representative":[169],"datasets,":[170],"templates,":[172],"an":[174],"request":[176],"simulator.":[177],"We":[178],"evaluate":[182],"effectiveness":[184],"including":[189],"OpenMLDB":[190],"Flink":[192],"find":[194],"that":[195],"each":[196],"system":[197],"exhibits":[198],"distinct":[199],"advantages":[200],"limitations":[202],"overall":[206],"latency,":[207,209],"tail":[208],"concurrency":[211],"performance.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}