{"id":"https://openalex.org/W2081628764","doi":"https://doi.org/10.1145/1007568.1007661","title":"Relaxed currency and consistency","display_name":"Relaxed currency and consistency","publication_year":2004,"publication_date":"2004-06-13","ids":{"openalex":"https://openalex.org/W2081628764","doi":"https://doi.org/10.1145/1007568.1007661","mag":"2081628764"},"language":"en","primary_location":{"id":"doi:10.1145/1007568.1007661","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1007568.1007661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGMOD 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/A5023921770","display_name":"Hongfei Guo","orcid":"https://orcid.org/0000-0002-1924-6268"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongfei Guo","raw_affiliation_strings":["University of Wisconsin"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109039470","display_name":"Per-\u00c5ke Larson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Per-\u00c5ke Larson","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051301731","display_name":"Raghu Ramakrishnan","orcid":"https://orcid.org/0009-0007-5086-7664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raghu Ramakrishnan","raw_affiliation_strings":["University of Wisconsin"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111492493","display_name":"Jonathan Goldstein","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathan Goldstein","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023921770"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5744,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.97795605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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":0.9995999932289124,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.996399998664856,"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":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8572252988815308},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6538883447647095},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.63231360912323},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6087873578071594},{"id":"https://openalex.org/keywords/replica","display_name":"Replica","score":0.5336039662361145},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5099817514419556},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5085068941116333},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.503006637096405},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4409429132938385},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.4322817325592041},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2630562484264374},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.12912577390670776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8572252988815308},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6538883447647095},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.63231360912323},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6087873578071594},{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.5336039662361145},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5099817514419556},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5085068941116333},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.503006637096405},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4409429132938385},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.4322817325592041},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2630562484264374},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.12912577390670776},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1007568.1007661","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1007568.1007661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1483132610","https://openalex.org/W1485782945","https://openalex.org/W1495105959","https://openalex.org/W1501197004","https://openalex.org/W1502259085","https://openalex.org/W1537198575","https://openalex.org/W1585730347","https://openalex.org/W1599721385","https://openalex.org/W1602423797","https://openalex.org/W1648820737","https://openalex.org/W1974802012","https://openalex.org/W1999594162","https://openalex.org/W1999689297","https://openalex.org/W2005099092","https://openalex.org/W2077515046","https://openalex.org/W2097394356","https://openalex.org/W2098465352","https://openalex.org/W2110849300","https://openalex.org/W2127484584","https://openalex.org/W2130987148","https://openalex.org/W2132410967","https://openalex.org/W2133088444","https://openalex.org/W2141394101","https://openalex.org/W2154837369","https://openalex.org/W2163764339","https://openalex.org/W2171492933","https://openalex.org/W6629505283","https://openalex.org/W6679422539"],"related_works":["https://openalex.org/W3013979739","https://openalex.org/W2655578171","https://openalex.org/W2577913821","https://openalex.org/W2460131733","https://openalex.org/W2953070151","https://openalex.org/W4296976839","https://openalex.org/W2372946558","https://openalex.org/W3126044086","https://openalex.org/W4394646256","https://openalex.org/W2356335648"],"abstract_inverted_index":{"Despite":[0],"the":[1,62,77,82,129,153,171,176],"widespread":[2],"and":[3,13,40,67,73,100,121,161],"growing":[4],"use":[5,33,160,169],"of":[6,29,155,170],"asynchronous":[7],"copies":[8,42],"to":[9,56,61],"improve":[10],"scalability,":[11],"performance":[12],"availability,":[14],"this":[15,58,87],"practice":[16],"still":[17],"lacks":[18],"a":[19],"firm":[20],"semantic":[21],"foundation.":[22],"Applications":[23],"are":[24,43,48,84,109,125,135,143],"written":[25],"with":[26],"some":[27],"understanding":[28],"which":[30,41],"queries":[31,72],"can":[32,79],"data":[34,184],"that":[35,81,151,180,185],"is":[36,186],"not":[37],"entirely":[38],"current":[39],"\"good":[44,187],"enough\";":[45],"however,":[46],"there":[47],"neither":[49],"explicit":[50,65],"requirements":[51],"nor":[52],"guarantees.":[53],"We":[54,104],"propose":[55,101],"make":[57],"knowledge":[59],"available":[60],"DBMS":[63,78,173],"through":[64],"currency":[66,141,154],"consistency":[68],"(C&C)":[69],"constraints":[70,83,108,120,134,142],"in":[71,111],"develop":[74],"techniques":[75],"so":[76],"guarantee":[80],"satisfied.":[85],"In":[86],"paper":[88],"we":[89],"describe":[90],"our":[91,113],"model":[92],"for":[93,189],"expressing":[94],"C&C":[95,107],"constraints,":[96],"define":[97],"their":[98,190],"semantics,":[99],"SQL":[102],"syntax.":[103],"explain":[105],"how":[106,119],"enforced":[110,136,144],"MTCache,":[112],"prototype":[114],"mid-tier":[115],"database":[116],"cache,":[117],"including":[118],"replica":[122,158],"update":[123],"policies":[124],"elegantly":[126],"integrated":[127],"into":[128],"cost-based":[130],"query":[131],"optimizer.":[132],"Consistency":[133],"at":[137,145,175],"compile":[138],"time":[139,147,178],"while":[140,174],"run":[146],"by":[148],"dynamic":[149],"plans":[150],"check":[152],"each":[156],"local":[157],"before":[159],"select":[162],"sub-plans":[163],"accordingly.":[164],"This":[165],"approach":[166],"makes":[167],"optimal":[168],"cache":[172],"same":[177],"guaranteeing":[179],"applications":[181],"always":[182],"get":[183],"enough\"":[188],"purpose.":[191]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}