{"id":"https://openalex.org/W2798891709","doi":"https://doi.org/10.1145/3183713.3196931","title":"SuRF","display_name":"SuRF","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798891709","doi":"https://doi.org/10.1145/3183713.3196931","mag":"2798891709"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3196931","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196931","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196931","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/10.1145/3183713.3196931","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015113627","display_name":"Huanchen Zhang","orcid":"https://orcid.org/0009-0000-0786-1004"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huanchen Zhang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050218314","display_name":"Hyeontaek Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyeontaek Lim","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046213289","display_name":"Viktor Leis","orcid":"https://orcid.org/0000-0001-5676-8017"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Viktor Leis","raw_affiliation_strings":["Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085479490","display_name":"David G. Andersen","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David G. Andersen","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052885090","display_name":"Michael Kaminsky","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Kaminsky","raw_affiliation_strings":["Intel Labs, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053422735","display_name":"Kimberly Keeton","orcid":"https://orcid.org/0000-0003-2426-8872"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kimberly Keeton","raw_affiliation_strings":["Hewlett Packard Enterprise, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049165312","display_name":"Andrew Pavlo","orcid":"https://orcid.org/0000-0001-6040-6991"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Pavlo","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5015113627"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":13.066,"has_fulltext":true,"cited_by_count":155,"citation_normalized_percentile":{"value":0.98910319,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9794999957084656,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/bloom-filter","display_name":"Bloom filter","score":0.9457461833953857},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.7733930349349976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524387836456299},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6632922887802124},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.6127344965934753},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5086134672164917},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.508204460144043},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.501075029373169},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49377474188804626},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4667147994041443},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45639508962631226},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34852540493011475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3371813893318176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3001340627670288},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.25713735818862915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2108037769794464},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.11355021595954895},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09304344654083252},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07108166813850403},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.06786561012268066}],"concepts":[{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.9457461833953857},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.7733930349349976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524387836456299},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6632922887802124},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.6127344965934753},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5086134672164917},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.508204460144043},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.501075029373169},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49377474188804626},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4667147994041443},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45639508962631226},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34852540493011475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3371813893318176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3001340627670288},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25713735818862915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2108037769794464},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.11355021595954895},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09304344654083252},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07108166813850403},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.06786561012268066},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3196931","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196931","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196931","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:10.1145/3183713.3196931","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196931","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3183713.3196931","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":[{"id":"https://metadata.un.org/sdg/14","score":0.5600000023841858,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G7586482089","display_name":"AitF: FULL: Collaborative Research: Better Hashing for Applications: From Nuts & Bolts to Asymptotics","funder_award_id":"1535821","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7825564970","display_name":null,"funder_award_id":"CCF-1535821","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"}],"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/W2798891709.pdf","grobid_xml":"https://content.openalex.org/works/W2798891709.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W17958277","https://openalex.org/W102693926","https://openalex.org/W202508549","https://openalex.org/W1507759507","https://openalex.org/W1533567700","https://openalex.org/W1551498417","https://openalex.org/W1554285337","https://openalex.org/W1580997674","https://openalex.org/W1608371561","https://openalex.org/W1798412263","https://openalex.org/W1823694584","https://openalex.org/W1946402190","https://openalex.org/W1974033543","https://openalex.org/W1985229168","https://openalex.org/W2000568570","https://openalex.org/W2013291893","https://openalex.org/W2014977566","https://openalex.org/W2030062409","https://openalex.org/W2035735180","https://openalex.org/W2068739275","https://openalex.org/W2087946700","https://openalex.org/W2093788424","https://openalex.org/W2114790712","https://openalex.org/W2122011234","https://openalex.org/W2123845384","https://openalex.org/W2125770033","https://openalex.org/W2145269645","https://openalex.org/W2148113067","https://openalex.org/W2149243190","https://openalex.org/W2152589529","https://openalex.org/W2157740020","https://openalex.org/W2157963663","https://openalex.org/W2161715626","https://openalex.org/W2170899819","https://openalex.org/W2176659866","https://openalex.org/W2259014610","https://openalex.org/W2310385842","https://openalex.org/W2429518132","https://openalex.org/W2584004798","https://openalex.org/W2605800201","https://openalex.org/W2612368883","https://openalex.org/W3136682179","https://openalex.org/W4239994702"],"related_works":["https://openalex.org/W2075698953","https://openalex.org/W1989507269","https://openalex.org/W2212047860","https://openalex.org/W2277163753","https://openalex.org/W2998324560","https://openalex.org/W2773435329","https://openalex.org/W2323304991","https://openalex.org/W3035954614","https://openalex.org/W2986205078","https://openalex.org/W2798891709"],"abstract_inverted_index":{"We":[0,90],"present":[1],"the":[2,46,53,150],"Succinct":[3,48],"Range":[4],"Filter":[5],"(SuRF),":[6],"a":[7,41,96,117,146],"fast":[8],"and":[9,26,34,55,80,134,143],"compact":[10],"data":[11,43,112],"structure":[12,44],"for":[13,77,98],"approximate":[14],"membership":[15],"tests.":[16],"Unlike":[17],"traditional":[18],"Bloom":[19,100,125],"filters,":[20],"SuRF":[21,37,76,92],"supports":[22],"both":[23,78],"single-key":[24],"lookups":[25],"common":[27],"range":[28,35,56,81],"queries:":[29],"open-range":[30],"queries,":[31,33],"closed-range":[32],"counts.":[36],"is":[38],"based":[39],"on":[40,116,149],"new":[42],"called":[45],"Fast":[47],"Trie":[49],"(FST)":[50],"that":[51,122],"matches":[52],"point":[54,79,153],"query":[57,154],"performance":[58],"of":[59],"state-of-the-art":[60],"order-preserving":[61],"indexes,":[62],"while":[63],"consuming":[64],"only":[65],"10":[66],"bits":[67],"per":[68],"trie":[69],"node.":[70],"The":[71],"false":[72,160],"positive":[73,161],"rates":[74],"in":[75,93],"queries":[82,138],"are":[83],"tunable":[84],"to":[85,102,141,157],"satisfy":[86],"different":[87],"application":[88],"needs.":[89],"evaluate":[91],"RocksDB":[94],"as":[95],"replacement":[97],"its":[99],"filters":[101,126],"reduce":[103],"I/O":[104],"by":[105,139],"filtering":[106],"requests":[107],"before":[108],"they":[109],"access":[110],"on-disk":[111],"structures.":[113],"Our":[114],"experiments":[115],"100":[118],"GB":[119],"dataset":[120],"show":[121],"replacing":[123],"RocksDB's":[124],"with":[127,145],"SuRFs":[128],"speeds":[129],"up":[130,140],"open-seek":[131],"(without":[132],"upper-bound)":[133,137],"closed-seek":[135],"(with":[136],"1.5\u00d7":[142],"5\u00d7":[144],"modest":[147],"cost":[148],"worst-case":[151],"(all-missing)":[152],"throughput":[155],"due":[156],"slightly":[158],"higher":[159],"rate.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2018-05-07T00:00:00"}
