{"id":"https://openalex.org/W2000345607","doi":"https://doi.org/10.1145/2723372.2746480","title":"FOEDUS","display_name":"FOEDUS","publication_year":2015,"publication_date":"2015-05-27","ids":{"openalex":"https://openalex.org/W2000345607","doi":"https://doi.org/10.1145/2723372.2746480","mag":"2000345607"},"language":"en","primary_location":{"id":"doi:10.1145/2723372.2746480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2723372.2746480","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2746480&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD 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":"http://dl.acm.org/ft_gateway.cfm?id=2746480&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101049128","display_name":"Hideaki Kimura","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hideaki Kimura","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA","HP Labs, Palo ALto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs, Palo ALto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101049128"],"corresponding_institution_ids":["https://openalex.org/I1324840837"],"apc_list":null,"apc_paid":null,"fwci":25.9214,"has_fulltext":true,"cited_by_count":182,"citation_normalized_percentile":{"value":0.9960591,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"691","last_page":"706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9991000294685364,"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":0.9991000294685364,"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":0.8444701433181763},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.7210986614227295},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.6816405057907104},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5824089050292969},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.529251754283905},{"id":"https://openalex.org/keywords/non-volatile-random-access-memory","display_name":"Non-volatile random-access memory","score":0.5206917524337769},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.48477262258529663},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.458213746547699},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38474375009536743},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.34182214736938477},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.20732566714286804},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.11127495765686035},{"id":"https://openalex.org/keywords/computer-memory","display_name":"Computer memory","score":0.07510912418365479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8444701433181763},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.7210986614227295},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.6816405057907104},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5824089050292969},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.529251754283905},{"id":"https://openalex.org/C34172316","wikidata":"https://www.wikidata.org/wiki/Q499024","display_name":"Non-volatile random-access memory","level":5,"score":0.5206917524337769},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48477262258529663},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.458213746547699},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38474375009536743},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.34182214736938477},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.20732566714286804},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.11127495765686035},{"id":"https://openalex.org/C92855701","wikidata":"https://www.wikidata.org/wiki/Q5830907","display_name":"Computer memory","level":3,"score":0.07510912418365479},{"id":"https://openalex.org/C87907426","wikidata":"https://www.wikidata.org/wiki/Q6815755","display_name":"Memory refresh","level":4,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2723372.2746480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2723372.2746480","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2746480&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2723372.2746480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2723372.2746480","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2746480&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2000345607.pdf","grobid_xml":"https://content.openalex.org/works/W2000345607.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1423003888","https://openalex.org/W1785356562","https://openalex.org/W1814601622","https://openalex.org/W1920727200","https://openalex.org/W1963674762","https://openalex.org/W1992755462","https://openalex.org/W1998663979","https://openalex.org/W2001693951","https://openalex.org/W2014977566","https://openalex.org/W2018464987","https://openalex.org/W2033320920","https://openalex.org/W2036899386","https://openalex.org/W2041135949","https://openalex.org/W2054075931","https://openalex.org/W2068739275","https://openalex.org/W2078260102","https://openalex.org/W2091076568","https://openalex.org/W2102449048","https://openalex.org/W2112181056","https://openalex.org/W2112753327","https://openalex.org/W2138404963","https://openalex.org/W2141710443","https://openalex.org/W2155462575","https://openalex.org/W2160781056","https://openalex.org/W2162288748","https://openalex.org/W2163231231","https://openalex.org/W2165663045","https://openalex.org/W2183342041","https://openalex.org/W2259768515","https://openalex.org/W2294111665","https://openalex.org/W2394555589","https://openalex.org/W2398564056","https://openalex.org/W2404397702","https://openalex.org/W2998399422","https://openalex.org/W2998915116","https://openalex.org/W3099470245","https://openalex.org/W4237310759","https://openalex.org/W4240349797","https://openalex.org/W4253911406","https://openalex.org/W6628249541","https://openalex.org/W6676944181"],"related_works":["https://openalex.org/W3120961607","https://openalex.org/W2098207691","https://openalex.org/W3148568549","https://openalex.org/W1648516568","https://openalex.org/W361036515","https://openalex.org/W2269474412","https://openalex.org/W4386903460","https://openalex.org/W2169710001","https://openalex.org/W2542548909","https://openalex.org/W2110995678"],"abstract_inverted_index":{"Server":[0],"hardware":[1,11],"is":[2,50,64],"about":[3],"to":[4,75,83,123],"drastically":[5,65],"change.":[6],"As":[7],"typified":[8],"by":[9,19],"emerging":[10],"such":[12],"as":[13],"UC":[14],"Berkeley's":[15],"Firebox":[16],"project":[17],"and":[18,34,44,79,91,106,110],"Intel's":[20],"Rack-Scale":[21],"Architecture":[22],"(RSA),":[23],"next":[24],"generation":[25],"servers":[26],"will":[27],"have":[28],"thousands":[29],"of":[30,41,97,117],"cores,":[31],"large":[32,101],"DRAM,":[33],"huge":[35],"NVRAM.":[36,92],"We":[37,93],"analyze":[38],"the":[39,95],"characteristics":[40],"these":[42],"machines":[43],"find":[45,111],"that":[46,112],"no":[47],"existing":[48],"database":[49,60,73],"appropriate.":[51],"Hence,":[52],"we":[53],"are":[54],"developing":[55],"FOEDUS,":[56],"an":[57],"open-source,":[58],"from-scratch":[59],"engine":[61],"whose":[62],"architecture":[63],"different":[66],"from":[67],"traditional":[68],"databases.":[69],"It":[70],"extends":[71],"in-memory":[72],"technologies":[74],"further":[76],"scale":[77],"up":[78],"also":[80],"allows":[81],"transactions":[82],"efficiently":[84],"manipulate":[85],"data":[86],"pages":[87],"in":[88,99],"both":[89],"DRAM":[90],"evaluate":[94],"performance":[96],"FOEDUS":[98,113],"a":[100],"NUMA":[102],"machine":[103],"(16":[104],"sockets":[105],"240":[107],"physical":[108],"cores)":[109],"achieves":[114],"multiple":[115],"orders":[116],"magnitude":[118],"higher":[119],"TPC-C":[120],"throughput":[121],"compared":[122],"H-Store":[124],"with":[125],"anti-caching.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":26},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":4}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2016-06-24T00:00:00"}