{"id":"https://openalex.org/W2798839954","doi":"https://doi.org/10.1145/3183713.3183761","title":"Lightweight Cardinality Estimation in LSM-based Systems","display_name":"Lightweight Cardinality Estimation in LSM-based Systems","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798839954","doi":"https://doi.org/10.1145/3183713.3183761","mag":"2798839954"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3183761","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3183761","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3183761","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3183761","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074957280","display_name":"Ildar Absalyamov","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ildar Absalyamov","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011512061","display_name":"Michael J. Carey","orcid":"https://orcid.org/0000-0003-1561-4059"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Carey","raw_affiliation_strings":["University of California, Irvine, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000947547","display_name":"Vassilis J. Tsotras","orcid":"https://orcid.org/0000-0001-5462-9451"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vassilis J. Tsotras","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074957280"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":1.7587,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.86211805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"841","last_page":"855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8675810098648071},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6336671113967896},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.5803457498550415},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.572780430316925},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5480825304985046},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.4506703019142151},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.413049578666687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39682599902153015},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.393753319978714},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36297979950904846},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.3368229866027832},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2745051980018616},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11072659492492676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8675810098648071},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6336671113967896},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.5803457498550415},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.572780430316925},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5480825304985046},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.4506703019142151},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.413049578666687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39682599902153015},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.393753319978714},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36297979950904846},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.3368229866027832},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2745051980018616},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11072659492492676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3183761","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3183761","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3183761","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3183713.3183761","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3183761","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3183761","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1859852969","display_name":null,"funder_award_id":"1447826","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3024813314","display_name":null,"funder_award_id":"CNS-1305253, CNS-1305430, III-1447826, III-1447720","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4962682980","display_name":"CI-ADDO-NEW: ASTERIX: A Community Software Platform for Big Data Research, Analysis, and Management","funder_award_id":"1305253","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6497498316","display_name":null,"funder_award_id":"1447720","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8947449171","display_name":null,"funder_award_id":"1305430","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798839954.pdf","grobid_xml":"https://content.openalex.org/works/W2798839954.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1489255272","https://openalex.org/W1681014725","https://openalex.org/W1750237583","https://openalex.org/W1981420413","https://openalex.org/W1991271936","https://openalex.org/W1992023276","https://openalex.org/W2005188603","https://openalex.org/W2007069074","https://openalex.org/W2018666252","https://openalex.org/W2021850646","https://openalex.org/W2022858489","https://openalex.org/W2045604576","https://openalex.org/W2068739275","https://openalex.org/W2071989194","https://openalex.org/W2079499902","https://openalex.org/W2087177601","https://openalex.org/W2102166438","https://openalex.org/W2106163100","https://openalex.org/W2110086534","https://openalex.org/W2110557355","https://openalex.org/W2112452856","https://openalex.org/W2120074607","https://openalex.org/W2120108467","https://openalex.org/W2131126403","https://openalex.org/W2135527206","https://openalex.org/W2139276812","https://openalex.org/W2145910025","https://openalex.org/W2147232895","https://openalex.org/W2150779766","https://openalex.org/W2152029707","https://openalex.org/W2153160273","https://openalex.org/W2153329411","https://openalex.org/W2153511931","https://openalex.org/W2171903035","https://openalex.org/W2212047990","https://openalex.org/W2265297126","https://openalex.org/W2294361615","https://openalex.org/W4242587584","https://openalex.org/W4255671299"],"related_works":["https://openalex.org/W2378213774","https://openalex.org/W2357522326","https://openalex.org/W6138692","https://openalex.org/W2363019959","https://openalex.org/W1535822977","https://openalex.org/W23190051","https://openalex.org/W2367419170","https://openalex.org/W2377387014","https://openalex.org/W2382180329","https://openalex.org/W2375394542"],"abstract_inverted_index":{"Data":[0],"sources,":[1],"such":[2,44],"as":[3],"social":[4],"media,":[5],"mobile":[6],"apps":[7],"and":[8,76],"IoT":[9],"sensors,":[10],"generate":[11,102],"billions":[12],"of":[13,22,70,83,121],"records":[14],"each":[15],"day.":[16],"Keeping":[17],"up":[18],"with":[19],"this":[20],"influx":[21],"data":[23,50,71],"while":[24],"providing":[25],"useful":[26],"analytics":[27],"to":[28,46,52,101],"the":[29,92,99,122,128],"users":[30],"is":[31,51,89],"a":[32,63,73],"major":[33],"challenge":[34],"for":[35],"today's":[36],"data-intensive":[37],"systems.":[38],"A":[39],"popular":[40],"solution":[41],"that":[42,84,91,109],"allows":[43],"systems":[45,61],"handle":[47],"rapidly":[48],"incoming":[49],"rely":[53,113],"on":[54,81,98,114],"log-structured":[55],"merge":[56],"(LSM)":[57],"storage":[58],"models.":[59],"LSM-based":[60],"provide":[62],"tunable":[64],"trade-off":[65],"between":[66],"ingesting":[67],"vast":[68],"amounts":[69],"at":[72],"high":[74],"rate":[75],"running":[77],"efficient":[78,103],"analytical":[79],"queries":[80],"top":[82],"data.":[85],"For":[86],"queries,":[87],"it":[88],"well-known":[90],"query":[93,111,130],"processing":[94],"performance":[95],"largely":[96],"depends":[97],"ability":[100],"execution":[104],"plans.":[105],"Previous":[106],"research":[107],"showed":[108],"OLAP":[110],"workloads":[112],"having":[115],"small,":[116],"yet":[117],"precise,":[118],"statistical":[119],"summaries":[120],"underlying":[123],"data,":[124],"which":[125],"can":[126],"drive":[127],"cost-based":[129],"optimization.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}