{"id":"https://openalex.org/W2074013691","doi":"https://doi.org/10.1145/1247480.1247569","title":"Progressive optimization in a shared-nothing parallel database","display_name":"Progressive optimization in a shared-nothing parallel database","publication_year":2007,"publication_date":"2007-06-11","ids":{"openalex":"https://openalex.org/W2074013691","doi":"https://doi.org/10.1145/1247480.1247569","mag":"2074013691"},"language":"en","primary_location":{"id":"doi:10.1145/1247480.1247569","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1247480.1247569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 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/A5035744252","display_name":"Wook-Shin Han","orcid":"https://orcid.org/0000-0001-9206-9563"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wook-Shin Han","raw_affiliation_strings":["Kyungpook National University, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076975041","display_name":"Jack Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Jack Ng","raw_affiliation_strings":["IBM Toronto Lab, Toronto, Canada","IBM Toronto Lab., Toronto, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Toronto Lab, Toronto, Canada","institution_ids":["https://openalex.org/I4210113654"]},{"raw_affiliation_string":"IBM Toronto Lab., Toronto, Canada#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002413906","display_name":"Volker Markl","orcid":"https://orcid.org/0009-0009-0964-026X"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Volker Markl","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center San Jose , CA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center San Jose , CA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049051678","display_name":"Holger Kache","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210148712","display_name":"Silicon Valley University","ror":"https://ror.org/04jk6hn97","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Holger Kache","raw_affiliation_strings":["IBM Silicon Valley Lab, San Jose, CA","IBM Silicon Valley Lab., San Jose, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Silicon Valley Lab, San Jose, CA","institution_ids":["https://openalex.org/I4210148712"]},{"raw_affiliation_string":"IBM Silicon Valley Lab., San Jose, CA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040248448","display_name":"Mokhtar Kandil","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Mokhtar Kandil","raw_affiliation_strings":["IBM Toronto Lab, Toronto, Canada","IBM Toronto Lab., Toronto, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Toronto Lab, Toronto, Canada","institution_ids":["https://openalex.org/I4210113654"]},{"raw_affiliation_string":"IBM Toronto Lab., Toronto, Canada#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035744252"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":2.567,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90161641,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"809","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","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/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9901000261306763,"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":0.8867919445037842},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7627132534980774},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6822700500488281},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.59783536195755},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5820101499557495},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5738236904144287},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.5652940273284912},{"id":"https://openalex.org/keywords/parallel-database","display_name":"Parallel database","score":0.5155696868896484},{"id":"https://openalex.org/keywords/materialized-view","display_name":"Materialized view","score":0.4517514109611511},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.44461730122566223},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.44023096561431885},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4103999435901642},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.4011472463607788},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3658566474914551},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.1733505129814148},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1569795310497284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8867919445037842},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7627132534980774},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6822700500488281},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.59783536195755},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5820101499557495},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5738236904144287},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.5652940273284912},{"id":"https://openalex.org/C2777541480","wikidata":"https://www.wikidata.org/wiki/Q2051600","display_name":"Parallel database","level":2,"score":0.5155696868896484},{"id":"https://openalex.org/C98199447","wikidata":"https://www.wikidata.org/wiki/Q2445044","display_name":"Materialized view","level":4,"score":0.4517514109611511},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.44461730122566223},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.44023096561431885},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4103999435901642},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4011472463607788},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3658566474914551},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.1733505129814148},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1569795310497284},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1247480.1247569","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1247480.1247569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/92232","is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/92232","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1483744472","https://openalex.org/W1499807075","https://openalex.org/W1515739837","https://openalex.org/W1568790689","https://openalex.org/W1578006587","https://openalex.org/W1581276125","https://openalex.org/W1919806240","https://openalex.org/W1938691758","https://openalex.org/W1975731516","https://openalex.org/W1989152133","https://openalex.org/W1994502095","https://openalex.org/W2008750849","https://openalex.org/W2029690776","https://openalex.org/W2041563709","https://openalex.org/W2044564105","https://openalex.org/W2120415542","https://openalex.org/W2121755841","https://openalex.org/W2143452574","https://openalex.org/W2148406667","https://openalex.org/W2151826520","https://openalex.org/W2171147420","https://openalex.org/W2203361072","https://openalex.org/W6649229757","https://openalex.org/W6657629437","https://openalex.org/W6682330275","https://openalex.org/W6685264613"],"related_works":["https://openalex.org/W1988774479","https://openalex.org/W2123931473","https://openalex.org/W1799555191","https://openalex.org/W3012397820","https://openalex.org/W2378924333","https://openalex.org/W2919686661","https://openalex.org/W1496981381","https://openalex.org/W2382658894","https://openalex.org/W2791024100","https://openalex.org/W4312096174"],"abstract_inverted_index":{"Commercial":[0],"enterprise":[1],"data":[2,27],"warehouses":[3,28],"are":[4],"typically":[5],"implemented":[6],"on":[7,93,136],"parallel":[8,108,117,182,186,203],"databases":[9],"due":[10,51],"to":[11,52,63,75,106,115,126,153,162,167,238],"the":[12,39,46,81,86,99,112,211,230],"inherent":[13],"scalability":[14],"and":[15,38,74,98,129,150,185,214,228],"performance":[16,231],"limitation":[17],"of":[18,54,181,232,241],"a":[19,94,107,116,120,148,165,175,200,215,239],"serial":[20,88,95,113],"architecture.":[21],"Queries":[22],"used":[23],"in":[24,199],"such":[25],"large":[26],"can":[29,132],"contain":[30],"complex":[31,233],"predicates":[32],"as":[33,35,174],"well":[34],"multiple":[36,140],"joins,":[37],"resulting":[40],"query":[41],"execution":[42],"plans":[43],"generated":[44],"by":[45,68,77,236],"optimizer":[47],"may":[48],"be":[49,103],"sub-optimal":[50],"mis-estimates":[53],"row":[55],"cardinalities.":[56],"Progressive":[57],"optimization":[58],"(POP)":[59],"is":[60,91,119],"an":[61],"approach":[62],"detect":[64],"cardinality":[65],"estimation":[66],"errors":[67],"monitoring":[69],"actual":[70,82],"cardinalities":[71,83,137],"at":[72],"run-time":[73],"recover":[76],"triggering":[78],"re-optimization":[79,134],"with":[80],"measured.":[84],"However,":[85],"original":[87],"POP":[89,114],"solution":[90,152,195,223],"based":[92,135],"processing":[96,188],"architecture,":[97],"core":[100],"ideas":[101],"cannot":[102],"readily":[104],"applied":[105],"shared-nothing":[109],"environment.":[110],"Extending":[111],"environment":[118],"challenging":[121],"problem":[122],"since":[123],"we":[124,131,146],"need":[125],"determine":[127],"when":[128],"how":[130],"trigger":[133,163],"collected":[138],"from":[139],"independent":[141],"nodes.":[142],"In":[143],"this":[144,154],"paper,":[145],"present":[147],"comprehensive":[149],"practical":[151],"problem,":[155],"including":[156],"several":[157,179],"novel":[158],"voting":[159],"schemes":[160],"whether":[161],"re-optimization,":[164],"mechanism":[166],"reuse":[168],"local":[169],"intermediate":[170],"results":[171,219],"across":[172],"nodes":[173],"partitioned":[176],"materialized":[177],"view,":[178],"flavors":[180],"checkpoint":[183,187],"operators,":[184],"methods":[189],"using":[190,210],"efficient":[191],"communication":[192],"protocols.":[193],"This":[194],"has":[196,224],"been":[197],"prototyped":[198],"leading":[201],"commercial":[202],"DBMS.":[204],"We":[205],"have":[206],"performed":[207],"extensive":[208],"experiments":[209],"TPC-H":[212],"benchmark":[213],"real-world":[216],"database.":[217],"Experimental":[218],"show":[220],"that":[221],"our":[222],"negligible":[225],"runtime":[226],"overhead":[227],"accelerates":[229],"OLAP":[234],"queries":[235],"up":[237],"factor":[240],"22.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}