{"id":"https://openalex.org/W2136248285","doi":"https://doi.org/10.1109/ccgrid.2002.1017115","title":"Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation","display_name":"Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2136248285","doi":"https://doi.org/10.1109/ccgrid.2002.1017115","mag":"2136248285"},"language":"en","primary_location":{"id":"doi:10.1109/ccgrid.2002.1017115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid.2002.1017115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02)","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/A5002389298","display_name":"Ge Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ge Yang","raw_affiliation_strings":["Department of Computer and Information Sciences, Ohio State Uinversity, Columbus, OH, USA","Ohio State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103270436","display_name":"Ruoming Jin","orcid":"https://orcid.org/0000-0003-1895-4243"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoming Jin","raw_affiliation_strings":["Department of Computer and Information Sciences, Ohio State Uinversity, Columbus, OH, USA","Ohio State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025342178","display_name":"Gagan Agrawal","orcid":"https://orcid.org/0000-0002-2923-5327"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Agrawal","raw_affiliation_strings":["Department of Computer and Information Sciences, Ohio State Uinversity, Columbus, OH, USA","Ohio State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002389298"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.2401,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84928637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9980999827384949,"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":0.9980999827384949,"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":0.993399977684021,"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":0.9925000071525574,"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/online-analytical-processing","display_name":"Online analytical processing","score":0.8939822912216187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8744120597839355},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7422600984573364},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6693443059921265},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6136668920516968},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.5639249086380005},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5258864760398865},{"id":"https://openalex.org/keywords/middleware","display_name":"Middleware (distributed applications)","score":0.5188930630683899},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4890492856502533},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42301130294799805},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.41546082496643066},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41035956144332886},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33985841274261475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33842208981513977},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2947580814361572},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.1811290681362152}],"concepts":[{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.8939822912216187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8744120597839355},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7422600984573364},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6693443059921265},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6136668920516968},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.5639249086380005},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5258864760398865},{"id":"https://openalex.org/C169468491","wikidata":"https://www.wikidata.org/wiki/Q146923","display_name":"Middleware (distributed applications)","level":2,"score":0.5188930630683899},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4890492856502533},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42301130294799805},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.41546082496643066},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41035956144332886},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33985841274261475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33842208981513977},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2947580814361572},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.1811290681362152},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ccgrid.2002.1017115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid.2002.1017115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.115.5250","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.5250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/~jinr/Papers/ccgrid02.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.886.9776","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.886.9776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.cse.ohio-state.edu/%7Eagrawal/allpapers/ccgrid02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W79257064","https://openalex.org/W1976934734","https://openalex.org/W2044240774","https://openalex.org/W2053693780","https://openalex.org/W2075877598","https://openalex.org/W2139824828","https://openalex.org/W2140926207","https://openalex.org/W2150950420","https://openalex.org/W2157219191","https://openalex.org/W2161438724","https://openalex.org/W2910328769","https://openalex.org/W3021753108","https://openalex.org/W4232746812","https://openalex.org/W4241830353","https://openalex.org/W6603223901","https://openalex.org/W6663763427","https://openalex.org/W6680434743","https://openalex.org/W6680773106","https://openalex.org/W6682058615"],"related_works":["https://openalex.org/W2078886005","https://openalex.org/W2087724950","https://openalex.org/W1514498087","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"],"abstract_inverted_index":{"With":[0],"increases":[1],"in":[2,10,57,80,209],"the":[3,44,71,112,137,192,201,214,218,226,235],"amount":[4,202],"of":[5,37,43,46,73,114,118,157,191,203,220],"data":[6,74,91,104,146],"available":[7],"for":[8,25,89,97],"analysis":[9],"commercial":[11],"settings,":[12],"On":[13],"Line":[14],"Analytical":[15],"Processing":[16],"(OLAP)":[17],"and":[18,39,48,102,129,177,205,223],"decision":[19],"support":[20],"have":[21,151,183],"become":[22,228],"important":[23,138],"applications":[24,31],"high":[26],"performance":[27,232],"computing.":[28],"Implementing":[29],"such":[30,60],"on":[32,70,174],"clusters":[33],"requires":[34],"a":[35,63,154,189,210],"lot":[36],"expertise":[38],"effort,":[40],"particularly":[41],"because":[42],"sizes":[45],"input":[47],"outputdatasets.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,182],"describe":[54],"our":[55,158,164],"experiences":[56],"developing":[58],"one":[59],"application":[61],"using":[62],"cluster":[64],"middleware,":[65],"called":[66],"ADR.":[67],"We":[68,83,121,150],"focus":[69],"problem":[72],"cube":[75,105,147],"construction,":[76],"which":[77],"commonly":[78],"arises":[79],"multi-dimensional":[81],"OLAP.":[82],"show":[84],"how":[85],"ADR,":[86],"originally":[87],"developed":[88],"scientific":[90],"intensive":[92],"applications,":[93],"can":[94],"be":[95],"used":[96,184],"carrying":[98],"out":[99,153],"an":[100],"efficient":[101],"scalable":[103],"construction":[106,148],"implementation.":[107,159],"A":[108],"particular":[109],"issue":[110],"with":[111],"use":[113],"ADR":[115],"is":[116],"tiling":[117,130],"output":[119],"datasets.":[120],"present":[122],"new":[123],"algorithms":[124,135,186],"that":[125,140,187],"combine":[126],"inter-processor":[127],"communication":[128],"within":[131],"each":[132],"processor.":[133],"These":[134],"preserve":[136],"properties":[139],"are":[141,166,172,238],"desirable":[142],"from":[143,163],"any":[144],"parallel":[145,236],"algorithm.":[149],"carried":[152],"detailed":[155],"evaluation":[156],"The":[160,195],"main":[161],"results":[162],"experiments":[165],"as":[167,213],"follows:":[168],"1)":[169],"High":[170],"speedups":[171,237],"achieved":[173],"both":[175],"dense":[176],"sparse":[178],"datasets,":[179],"even":[180],"though":[181],"simple":[185],"sequentialize":[188],"part":[190],"computation,":[193,204],"2)":[194],"execution":[196],"time":[197],"depends":[198],"only":[199],"upon":[200],"does":[206],"not":[207],"increase":[208],"super-linear":[211],"fashion":[212],"dataset":[215],"size":[216],"or":[217],"number":[219],"tiles":[221],"increases,":[222],"3)":[224],"As":[225],"datasets":[227],"more":[229],"sparse,":[230],"sequential":[231],"degrades,":[233],"but":[234],"still":[239],"quite":[240],"good.":[241]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}