{"id":"https://openalex.org/W2141862445","doi":"https://doi.org/10.1109/icde.2011.5767884","title":"Distributed cube materialization on holistic measures","display_name":"Distributed cube materialization on holistic measures","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2141862445","doi":"https://doi.org/10.1109/icde.2011.5767884","mag":"2141862445"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2011.5767884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","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/A5001906560","display_name":"Arnab Nandi","orcid":"https://orcid.org/0000-0002-4138-603X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arnab Nandi","raw_affiliation_strings":["Department of EECS, University of Michigan, Ann Arbor, MI, USA","Dept. of EECS, University of Michigan, Ann Arbor, 48109, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Dept. of EECS, University of Michigan, Ann Arbor, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043275971","display_name":"Cong Yu","orcid":"https://orcid.org/0000-0001-7331-2345"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Yu","raw_affiliation_strings":["Google Research, New York, NY, USA","Google Research, New York, 10011, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, New York, 10011, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029571794","display_name":"Philip Bohannon","orcid":null},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Philip Bohannon","raw_affiliation_strings":["Yahoo Research Laboratories, Santa Clara, CA, USA","Yahoo Labs!, Santa Clara, CA 95054, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo Research Laboratories, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo Labs!, Santa Clara, CA 95054, USA","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051301731","display_name":"Raghu Ramakrishnan","orcid":"https://orcid.org/0009-0007-5086-7664"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Raghu Ramakrishnan","raw_affiliation_strings":["Yahoo Research Laboratories, Santa Clara, CA, USA","Yahoo Labs!, Santa Clara, CA 95054, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo Research Laboratories, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo Labs!, Santa Clara, CA 95054, USA","institution_ids":["https://openalex.org/I1325784139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001906560"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":25.4118,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.99388009,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9988999962806702,"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":0.9952999949455261,"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/cube","display_name":"Cube (algebra)","score":0.8439525365829468},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.7888052463531494},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.7764390707015991},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7298461198806763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721832275390625},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.5089497566223145},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46997231245040894},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4318055212497711},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4198182225227356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38946533203125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24192586541175842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14873945713043213},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.14702308177947998},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07190898060798645}],"concepts":[{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.8439525365829468},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7888052463531494},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.7764390707015991},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7298461198806763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721832275390625},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.5089497566223145},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46997231245040894},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4318055212497711},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4198182225227356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38946533203125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24192586541175842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14873945713043213},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.14702308177947998},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07190898060798645},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2011.5767884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2011.5767884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 27th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1493893823","https://openalex.org/W1498726635","https://openalex.org/W1514498087","https://openalex.org/W1514949376","https://openalex.org/W1992628046","https://openalex.org/W2003262311","https://openalex.org/W2042587503","https://openalex.org/W2074935284","https://openalex.org/W2080133348","https://openalex.org/W2080234606","https://openalex.org/W2092103580","https://openalex.org/W2098935637","https://openalex.org/W2103201239","https://openalex.org/W2112485457","https://openalex.org/W2114303224","https://openalex.org/W2119714163","https://openalex.org/W2123107958","https://openalex.org/W2125775320","https://openalex.org/W2130417465","https://openalex.org/W2133443743","https://openalex.org/W2134864705","https://openalex.org/W2143401113","https://openalex.org/W2146635036","https://openalex.org/W2150950420","https://openalex.org/W2162247086","https://openalex.org/W2173213060","https://openalex.org/W2950416404","https://openalex.org/W3022914912","https://openalex.org/W4230230708","https://openalex.org/W6629380029","https://openalex.org/W6630762386","https://openalex.org/W6651238488","https://openalex.org/W6679479929","https://openalex.org/W6681207993","https://openalex.org/W6682058615"],"related_works":["https://openalex.org/W2078886005","https://openalex.org/W2087724950","https://openalex.org/W2366586806","https://openalex.org/W2198278743","https://openalex.org/W2359610078","https://openalex.org/W1578257433","https://openalex.org/W2386977141","https://openalex.org/W2360760838","https://openalex.org/W2727179277","https://openalex.org/W119671363"],"abstract_inverted_index":{"Cube":[0],"computation":[1,32,80],"over":[2,89,122],"massive":[3],"datasets":[4],"is":[5,39],"critical":[6],"for":[7,77,110],"many":[8],"important":[9,65],"analyses":[10,88],"done":[11],"in":[12,54],"the":[13,105],"real":[14,91],"world.":[15],"Unlike":[16],"commonly":[17],"studied":[18],"algebraic":[19],"measures":[20,35,69,121],"such":[21,36],"as":[22,37],"SUM":[23],"that":[24],"are":[25],"amenable":[26],"to":[27,104],"parallel":[28],"computation,":[29],"efficient":[30,78],"cube":[31,55,79],"of":[33,67],"holistic":[34,68,120],"TOP-K":[38],"non-trivial":[40],"and":[41,70,92,115],"often":[42],"impossible":[43],"with":[44,119],"current":[45],"methods.":[46],"In":[47],"this":[48],"paper":[49],"we":[50,62],"detail":[51],"real-world":[52],"challenges":[53],"materialization":[56],"tasks":[57],"on":[58,81],"Web-scale":[59],"datasets.":[60,124],"Specifically,":[61],"identify":[63],"an":[64],"subset":[66],"introduce":[71],"MR-Cube,":[72],"a":[73],"MapReduce":[74],"based":[75],"framework":[76],"these":[82],"measures.":[83],"We":[84,95],"provide":[85],"extensive":[86],"experimental":[87],"both":[90],"synthetic":[93],"data.":[94],"demonstrate":[96],"that,":[97],"unlike":[98],"existing":[99],"techniques":[100],"which":[101],"cannot":[102],"scale":[103],"100":[106],"million":[107],"tuple":[108],"mark":[109],"our":[111],"datasets,":[112],"MR-Cube":[113],"successfully":[114],"efficiently":[116],"computes":[117],"cubes":[118],"billion-tuple":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":12}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}