{"id":"https://openalex.org/W1968763160","doi":"https://doi.org/10.1109/mesoca.2012.6392598","title":"A three-dimensional data model in HBase for large time-series dataset analysis","display_name":"A three-dimensional data model in HBase for large time-series dataset analysis","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1968763160","doi":"https://doi.org/10.1109/mesoca.2012.6392598","mag":"1968763160"},"language":"en","primary_location":{"id":"doi:10.1109/mesoca.2012.6392598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mesoca.2012.6392598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 6th International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA)","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/A5100617192","display_name":"Dan Han","orcid":"https://orcid.org/0000-0002-1253-9076"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Dan Han","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada","[Dept. of Computing Science, University of Alberta, Edmonton, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"[Dept. of Computing Science, University of Alberta, Edmonton, Canada]","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048978461","display_name":"Eleni Stroulia","orcid":"https://orcid.org/0000-0002-8784-8236"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eleni Stroulia","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada","[Dept. of Computing Science, University of Alberta, Edmonton, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"[Dept. of Computing Science, University of Alberta, Edmonton, Canada]","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100617192"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":10.64727532,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97675156,"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":"47","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nosql","display_name":"NoSQL","score":0.9812267422676086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8818178176879883},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6882873773574829},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.6385443210601807},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5168014764785767},{"id":"https://openalex.org/keywords/data-migration","display_name":"Data migration","score":0.48124217987060547},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.4373510479927063},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4181991219520569},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.4114648699760437},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.4106491804122925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38110262155532837},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.13460761308670044},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09486711025238037}],"concepts":[{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.9812267422676086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8818178176879883},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6882873773574829},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.6385443210601807},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5168014764785767},{"id":"https://openalex.org/C146152329","wikidata":"https://www.wikidata.org/wiki/Q1932543","display_name":"Data migration","level":2,"score":0.48124217987060547},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4373510479927063},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4181991219520569},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.4114648699760437},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.4106491804122925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38110262155532837},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.13460761308670044},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09486711025238037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mesoca.2012.6392598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mesoca.2012.6392598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 6th International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W101359946","https://openalex.org/W1498439332","https://openalex.org/W1981420413","https://openalex.org/W1985419898","https://openalex.org/W2036260704","https://openalex.org/W2037289266","https://openalex.org/W2098903349","https://openalex.org/W2152323874","https://openalex.org/W2533105572","https://openalex.org/W4232836277"],"related_works":["https://openalex.org/W3209916128","https://openalex.org/W2902173722","https://openalex.org/W4212869012","https://openalex.org/W3046210363","https://openalex.org/W2790803000","https://openalex.org/W2607557271","https://openalex.org/W4285237363","https://openalex.org/W3088518367","https://openalex.org/W1520021628","https://openalex.org/W4383333879"],"abstract_inverted_index":{"In":[0],"the":[1,6,60,71,127,135,138,145,148,154,161,174,203,224,235,240],"transition":[2],"of":[3,29,59,73,134,147,157,163,177,180,187,196,205,219,243],"applications":[4],"from":[5],"traditional":[7],"enterprise":[8],"infrastructures":[9],"to":[10,32,48,159],"cloud":[11],"infrastructures,":[12],"scalable":[13],"database":[14,53,75,86,104],"management":[15],"system":[16],"plays":[17],"an":[18,131],"important":[19,93],"role":[20],"in":[21,39,51],"efficiently":[22],"managing":[23],"and":[24,76,92,97,113,116,172,190],"analysing":[25],"unprecedented":[26],"massive":[27],"amount":[28],"data.":[30],"Compared":[31],"RDBMSs,":[33],"NoSQL":[34,52,74,85,103],"databases,":[35],"are":[36],"more":[37],"attractive":[38],"addressing":[40],"this":[41,178],"challenge.":[42],"However,":[43],"it":[44],"is":[45,89,141],"not":[46],"easy":[47],"manage":[49],"data":[50,66,136,150,165,181,185,198,216,236],"effectively":[54],"for":[55,84,95,110,120],"non-expert":[56],"users":[57],"because":[58],"rare":[61],"data-organization":[62],"support.":[63],"A":[64],"poor":[65],"organization":[67],"may":[68],"accidentally":[69],"abuse":[70],"features":[72],"achieve":[77],"unsatisfactory":[78],"performance.":[79],"Therefore,":[80],"a":[81,90,101,164],"systematic":[82],"method":[83],"data-schema":[87],"design":[88],"timely":[91],"problem":[94],"researchers":[96],"practitioners.":[98],"HBase,":[99],"as":[100],"particular":[102],"offering,":[105],"relies":[106],"(a)":[107],"on":[108,118],"HDFS,":[109],"its":[111],"distributed":[112],"replicated":[114],"storage,":[115],"(b)":[117],"coprocessors,":[119],"efficient":[121],"parallel":[122],"query":[123],"processing.":[124],"To":[125],"harness":[126],"potential":[128],"parallelism":[129],"benefits,":[130],"appropriate":[132],"partitioning":[133],"across":[137,214],"HBase":[139,158,211,226],"storage":[140],"required.":[142],"we":[143,200],"investigate":[144],"effectiveness":[146],"three-dimensional":[149],"model,":[151],"which":[152,220],"uses":[153],"\"version\"":[155],"dimension":[156,242],"store":[160],"values":[162],"item":[166],"over":[167],"time.":[168],"We":[169],"have":[170,201],"experimented":[171],"evaluated":[173],"performance":[175,204,233],"impact":[176],"type":[179],"model":[182],"with":[183,210,234],"two":[184],"sets,":[186,199],"different":[188,191,215],"sizes":[189],"time":[192],"lengths.":[193],"For":[194],"each":[195],"these":[197],"compared":[202],"several":[206],"ad-hoc":[207],"queries,":[208],"implemented":[209],"Coprocessors":[212],"framework,":[213],"schemas,":[217],"some":[218],"(do":[221],"not)":[222],"use":[223,239],"third":[225,241],"dimension.":[227],"The":[228],"experiment":[229],"results":[230],"demonstrate":[231],"improved":[232],"schemas":[237],"that":[238],"HBase.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}