{"id":"https://openalex.org/W2742806666","doi":"https://doi.org/10.1504/ijbdi.2017.10006848","title":"Data partition optimisation for column-family NoSQL databases","display_name":"Data partition optimisation for column-family NoSQL databases","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2742806666","doi":"https://doi.org/10.1504/ijbdi.2017.10006848","mag":"2742806666"},"language":"en","primary_location":{"id":"doi:10.1504/ijbdi.2017.10006848","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbdi.2017.10006848","pdf_url":null,"source":{"id":"https://openalex.org/S4210219838","display_name":"International Journal of Big Data Intelligence","issn_l":"2053-1389","issn":["2053-1389","2053-1397"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Intelligence","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/A5057805207","display_name":"Pangfeng Liu","orcid":"https://orcid.org/0000-0002-5466-9960"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pangfeng Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104069357","display_name":"Jan Jan Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Jan Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103051750","display_name":"Meng-Ju Hsieh","orcid":"https://orcid.org/0000-0001-5856-3840"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Ju Hsieh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112825568","display_name":"Li Yung Ho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Yung Ho","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057805207"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4469054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"4","first_page":"263","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9725000262260437,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9725000262260437,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.927299976348877,"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":0.9310353994369507},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7554409503936768},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.6740829348564148},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.6467796564102173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565880537033081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14270246028900146},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09463873505592346},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05742451548576355}],"concepts":[{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.9310353994369507},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7554409503936768},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.6740829348564148},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.6467796564102173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565880537033081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14270246028900146},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09463873505592346},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05742451548576355},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijbdi.2017.10006848","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbdi.2017.10006848","pdf_url":null,"source":{"id":"https://openalex.org/S4210219838","display_name":"International Journal of Big Data Intelligence","issn_l":"2053-1389","issn":["2053-1389","2053-1397"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2126420512","https://openalex.org/W2108941518","https://openalex.org/W3157676313","https://openalex.org/W2884906776","https://openalex.org/W1841120357","https://openalex.org/W2884115854","https://openalex.org/W4313444821","https://openalex.org/W2620249060","https://openalex.org/W2473889978","https://openalex.org/W2236555801"],"abstract_inverted_index":{"Data":[0],"conversion":[1,39,66],"has":[2],"become":[3],"an":[4,95],"emerging":[5],"topic":[6],"in":[7,32,64,74,81],"BigData":[8],"era.":[9],"To":[10],"face":[11],"the":[12,24,71,85,116],"challenge":[13],"of":[14,87],"rapid":[15],"data":[16,50,55,65,77,126],"growth,":[17],"legacy":[18],"or":[19],"existing":[20],"relational":[21],"databases":[22,44],"have":[23],"need":[25],"to":[26,34,42,69,83,103,113],"convert":[27],"into":[28,52,79],"NoSQL":[29,43,54],"column-family":[30],"database":[31],"order":[33,82],"achieve":[35],"better":[36],"scalability.":[37],"The":[38],"from":[40],"SQL":[41,49],"requires":[45],"combining":[46],"small,":[47],"normalised":[48],"tables":[51],"larger":[53],"tables;":[56],"a":[57,75],"process":[58],"called":[59],"denormalisation.":[60],"A":[61],"challenging":[62],"issue":[63],"is":[67,121],"how":[68],"group":[70],"denormalised":[72],"columns":[73],"large":[76],"table":[78],"'families'":[80],"ensure":[84],"performance":[86],"query":[88],"processing.":[89,127],"In":[90],"this":[91,105],"paper,":[92],"we":[93],"propose":[94],"efficient":[96,123],"heuristic":[97],"algorithm,":[98],"graph-based":[99],"partition":[100],"algorithm":[101],"(GPA),":[102],"address":[104],"problem.":[106],"We":[107],"use":[108],"TPC-C":[109],"and":[110],"TPC-H":[111],"benchmarks":[112],"demonstrate":[114],"that":[115],"column-families":[117],"produced":[118],"by":[119],"GPA":[120],"very":[122],"for":[124],"large-scale":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
