{"id":"https://openalex.org/W2270580340","doi":"https://doi.org/10.14778/2732240.2732243","title":"Optimization for iterative queries on MapReduce","display_name":"Optimization for iterative queries on MapReduce","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2270580340","doi":"https://doi.org/10.14778/2732240.2732243","mag":"2270580340"},"language":"en","primary_location":{"id":"doi:10.14778/2732240.2732243","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2732240.2732243","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5030272842","display_name":"Makoto Onizuka","orcid":"https://orcid.org/0000-0001-5559-8300"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Makoto Onizuka","raw_affiliation_strings":["NTT Software Innovation Center"],"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109042223","display_name":"Hiroyuki Kato","orcid":"https://orcid.org/0009-0006-3961-8344"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Kato","raw_affiliation_strings":["National Institute of Informatics"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053987747","display_name":"Soichiro Hidaka","orcid":"https://orcid.org/0000-0002-4726-8712"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soichiro Hidaka","raw_affiliation_strings":["National Institute of Informatics"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043816599","display_name":"Keisuke Nakano","orcid":"https://orcid.org/0000-0003-1955-4225"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Nakano","raw_affiliation_strings":["University of Electro-Communications"],"affiliations":[{"raw_affiliation_string":"University of Electro-Communications","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102717988","display_name":"Zhenjiang Hu","orcid":"https://orcid.org/0000-0002-9034-205X"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhenjiang Hu","raw_affiliation_strings":["National Institute of Informatics"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030272842"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9051,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88537445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"4","first_page":"241","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9993000030517578,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8159820437431335},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7214376330375671},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6927205324172974},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5708135962486267},{"id":"https://openalex.org/keywords/materialized-view","display_name":"Materialized view","score":0.5489020943641663},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5225469470024109},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5136837363243103},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44555899500846863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37054210901260376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32077914476394653},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.1239778995513916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10557198524475098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10286420583724976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8159820437431335},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7214376330375671},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6927205324172974},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5708135962486267},{"id":"https://openalex.org/C98199447","wikidata":"https://www.wikidata.org/wiki/Q2445044","display_name":"Materialized view","level":4,"score":0.5489020943641663},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5225469470024109},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5136837363243103},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44555899500846863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37054210901260376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32077914476394653},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.1239778995513916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10557198524475098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10286420583724976},{"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2732240.2732243","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2732240.2732243","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W280853923","https://openalex.org/W1491178396","https://openalex.org/W1721908487","https://openalex.org/W1976860187","https://openalex.org/W1993892970","https://openalex.org/W2001340865","https://openalex.org/W2012670464","https://openalex.org/W2013344760","https://openalex.org/W2065180054","https://openalex.org/W2096092966","https://openalex.org/W2096544401","https://openalex.org/W2098935637","https://openalex.org/W2100444372","https://openalex.org/W2103337291","https://openalex.org/W2108272874","https://openalex.org/W2108739216","https://openalex.org/W2109722477","https://openalex.org/W2114303224","https://openalex.org/W2122988820","https://openalex.org/W2125775320","https://openalex.org/W2125816831","https://openalex.org/W2126399065","https://openalex.org/W2131975293","https://openalex.org/W2135029798","https://openalex.org/W2142031898","https://openalex.org/W2157355837","https://openalex.org/W2167927436","https://openalex.org/W2170616854","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W3143596294","https://openalex.org/W6676367512","https://openalex.org/W6680012447","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2125738398","https://openalex.org/W2038176938","https://openalex.org/W2376402673","https://openalex.org/W2953224074","https://openalex.org/W1606751452","https://openalex.org/W2585331044","https://openalex.org/W2588278736","https://openalex.org/W2114713465","https://openalex.org/W2395940163","https://openalex.org/W4376609224"],"abstract_inverted_index":{"We":[0,82],"propose":[1],"OptIQ,":[2],"a":[3],"query":[4],"optimization":[5],"approach":[6],"for":[7],"iterative":[8,35],"queries":[9,36,90],"in":[10,78],"distributed":[11],"environment.":[12],"OptIQ":[13,33,59,87,103],"removes":[14],"redundant":[15,67,118],"computations":[16,48,68,119],"among":[17,56,120],"different":[18],"iterations":[19],"by":[20,51,71],"extending":[21],"the":[22,44,53,62,73,79,84,89,117],"traditional":[23],"techniques":[24],"of":[25,86,91],"view":[26,30,55],"materialization":[27],"and":[28,39,42,93],"incremental":[29],"evaluation.":[31],"First,":[32],"decomposes":[34],"into":[37],"invariant":[38],"variant":[40,63,80],"views,":[41],"materializes":[43],"former":[45],"view.":[46,81],"Redundant":[47],"are":[49,69],"removed":[50,70],"reusing":[52],"materialized":[54],"iterations.":[57,121],"Second,":[58],"incrementally":[60],"evaluates":[61],"view,":[64],"so":[65],"that":[66,102],"skipping":[72],"evaluation":[74],"on":[75,96],"converged":[76],"tuples":[77],"verify":[83],"effectiveness":[85],"through":[88],"PageRank":[92],"k-means":[94],"clustering":[95],"real":[97],"datasets.":[98],"The":[99],"results":[100],"show":[101],"achieves":[104],"high":[105],"efficiency,":[106],"up":[107],"to":[108],"five":[109],"times":[110],"faster":[111],"than":[112],"is":[113],"possible":[114],"without":[115],"removing":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
