{"id":"https://openalex.org/W4281774998","doi":"https://doi.org/10.1145/3514221.3526148","title":"How Good is My HTAP System?","display_name":"How Good is My HTAP System?","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281774998","doi":"https://doi.org/10.1145/3514221.3526148"},"language":"en","primary_location":{"id":"doi:10.1145/3514221.3526148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3526148","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","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/A5064140883","display_name":"Elena Milkai","orcid":null},"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":"Elena Milkai","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035128721","display_name":"Yannis Chronis","orcid":null},"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":false,"raw_author_name":"Yannis Chronis","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055306573","display_name":"Kevin P. Gaffney","orcid":null},"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":false,"raw_author_name":"Kevin P. Gaffney","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102751833","display_name":"Zhihan Guo","orcid":"https://orcid.org/0000-0002-1889-583X"},"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":false,"raw_author_name":"Zhihan Guo","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069237428","display_name":"Jignesh M. Patel","orcid":"https://orcid.org/0000-0003-3653-2538"},"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":false,"raw_author_name":"Jignesh M. Patel","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734491","display_name":"Xiangyao Yu","orcid":"https://orcid.org/0009-0001-0785-2519"},"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":false,"raw_author_name":"Xiangyao Yu","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064140883"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":2.7777,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92177892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1810","last_page":"1824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9965999722480774,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9952999949455261,"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":0.8420835137367249},{"id":"https://openalex.org/keywords/online-transaction-processing","display_name":"Online transaction processing","score":0.6614687442779541},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.6014019846916199},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.56596839427948},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5312174558639526},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.461164653301239},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4161908030509949},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41160160303115845},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37320253252983093},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.3476629853248596},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2537533938884735},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.22925031185150146},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16688108444213867},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.0996721088886261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8420835137367249},{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.6614687442779541},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.6014019846916199},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.56596839427948},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5312174558639526},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.461164653301239},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4161908030509949},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41160160303115845},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37320253252983093},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.3476629853248596},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2537533938884735},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.22925031185150146},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16688108444213867},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.0996721088886261},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":1,"locations":[{"id":"doi:10.1145/3514221.3526148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3526148","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7422662659","display_name":null,"funder_award_id":"OAC-1835446","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1509841269","https://openalex.org/W1942955488","https://openalex.org/W1967601791","https://openalex.org/W2014977566","https://openalex.org/W2020129682","https://openalex.org/W2072627547","https://openalex.org/W2102639991","https://openalex.org/W2102729946","https://openalex.org/W2236986911","https://openalex.org/W2250374629","https://openalex.org/W2262876226","https://openalex.org/W2265888380","https://openalex.org/W2396727930","https://openalex.org/W2426624872","https://openalex.org/W2433471505","https://openalex.org/W2460071091","https://openalex.org/W2604961016","https://openalex.org/W2606409849","https://openalex.org/W2612041618","https://openalex.org/W2612704407","https://openalex.org/W3029596260","https://openalex.org/W3029815469","https://openalex.org/W3085441975","https://openalex.org/W3085924233","https://openalex.org/W3086851012","https://openalex.org/W3167346145","https://openalex.org/W4246514864"],"related_works":["https://openalex.org/W1555950237","https://openalex.org/W2804682780","https://openalex.org/W2084383859","https://openalex.org/W3166336118","https://openalex.org/W2188262136","https://openalex.org/W834810655","https://openalex.org/W2188975716","https://openalex.org/W171602259","https://openalex.org/W2102729946","https://openalex.org/W2240092424"],"abstract_inverted_index":{"Hybrid":[0],"Transactional":[1],"and":[2,15,21,61,71,86,112,173,190,193,202],"Analytical":[3],"Processing":[4],"(HTAP)":[5],"systems":[6,185],"have":[7],"recently":[8],"gained":[9],"popularity":[10],"as":[11,175],"they":[12],"combine":[13],"OLAP":[14],"OLTP":[16],"processing":[17],"to":[18,51,153],"reduce":[19],"administrative":[20],"synchronization":[22],"costs":[23],"between":[24,108],"dedicated":[25],"systems.":[26],"However,":[27],"there":[28],"is":[29,136],"no":[30],"precise":[31],"characterization":[32],"of":[33,58,68,103,139],"the":[34,56,66,101,106,109,137,140,178,196],"features":[35],"that":[36],"distinguish":[37],"a":[38,43,76,90,129,150,157,162],"good":[39],"HTAP":[40,122,184],"system":[41,114,123,191,200],"from":[42,55],"poor":[44],"one.":[45],"In":[46],"this":[47,53],"paper,":[48],"we":[49,74,127,180],"seek":[50],"solve":[52],"problem":[54],"perspectives":[57],"both":[59,69,84,170],"performance":[60,67,102,203],"freshness.":[62],"To":[63,117],"simultaneously":[64],"capture":[65,98,118],"transactional":[70,85],"analytical":[72,87,145],"processing,":[73],"introduce":[75],"new":[77,163],"concept":[78],"called":[79,166],"throughput":[80,88,95,171],"frontier,":[81],"which":[82,132,168],"visualizes":[83],"in":[89,156],"single":[91],"2D":[92],"graph.":[93],"The":[94],"frontier":[96,172],"can":[97],"information":[99],"regarding":[100],"each":[104,144],"engine,":[105],"interference":[107],"two":[110],"engines,":[111],"various":[113,187],"design":[115,161],"decisions.":[116],"how":[119,134,195],"well":[120],"an":[121],"supports":[124],"real-time":[125],"analytics,":[126],"define":[128],"freshness":[130,155,174],"metric":[131],"quantifies":[133],"recent":[135],"snapshot":[138],"data":[141,188],"seen":[142],"by":[143],"query.":[146],"We":[147,160],"also":[148],"develop":[149],"practical":[151],"way":[152],"measure":[154],"real":[158],"system.":[159],"hybrid":[164],"benchmark":[165],"HATtrick":[167],"incorporates":[169],"metrics.":[176],"Using":[177],"benchmark,":[179],"evaluate":[181],"three":[182],"representative":[183],"under":[186],"size":[189],"configurations":[192],"demonstrate":[194],"metrics":[197],"reveal":[198],"important":[199],"characteristics":[201],"information.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}