{"id":"https://openalex.org/W4386264128","doi":"https://doi.org/10.26599/bdma.2022.9020026","title":"Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data","display_name":"Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data","publication_year":2023,"publication_date":"2023-08-29","ids":{"openalex":"https://openalex.org/W4386264128","doi":"https://doi.org/10.26599/bdma.2022.9020026"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2022.9020026","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020026","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10233239/10233249.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ieeexplore.ieee.org/ielx7/8254253/10233239/10233249.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048603009","display_name":"Ankit Kumar","orcid":"https://orcid.org/0000-0002-7945-4616"},"institutions":[{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankit Kumar","raw_affiliation_strings":["GLA University,Department of Computer Engineering and Application,Mathura,India,281406"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GLA University,Department of Computer Engineering and Application,Mathura,India,281406","institution_ids":["https://openalex.org/I82571370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080803147","display_name":"Neeraj Varshney","orcid":"https://orcid.org/0000-0002-6537-7891"},"institutions":[{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeraj Varshney","raw_affiliation_strings":["GLA University,Department of Computer Engineering and Application,Mathura,India,281406"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GLA University,Department of Computer Engineering and Application,Mathura,India,281406","institution_ids":["https://openalex.org/I82571370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009510584","display_name":"Surbhi Bhatiya","orcid":null},"institutions":[{"id":"https://openalex.org/I4626487","display_name":"King Faisal University","ror":"https://ror.org/00dn43547","country_code":"SA","type":"education","lineage":["https://openalex.org/I4626487"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Surbhi Bhatiya","raw_affiliation_strings":["King Faisal University,College of Computer Sciences and Information Technology,Hofuf,Saudi Arabia,31982"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Faisal University,College of Computer Sciences and Information Technology,Hofuf,Saudi Arabia,31982","institution_ids":["https://openalex.org/I4626487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003704293","display_name":"Kamred Udham Singh","orcid":"https://orcid.org/0000-0002-7201-6381"},"institutions":[{"id":"https://openalex.org/I60054993","display_name":"Graphic Era University","ror":"https://ror.org/03wqgqd89","country_code":"IN","type":"education","lineage":["https://openalex.org/I60054993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamred Udham Singh","raw_affiliation_strings":["Graphic Era Hill University,School of Computing,Dehradun,India,248002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graphic Era Hill University,School of Computing,Dehradun,India,248002","institution_ids":["https://openalex.org/I60054993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1103,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94574881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"6","issue":"4","first_page":"465","last_page":"477"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9919999837875366,"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/T11719","display_name":"Data Quality and Management","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8913099765777588},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7951439023017883},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6534271240234375},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.642876148223877},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.6189918518066406},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5770904421806335},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5646787881851196},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5639057159423828},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5332505106925964},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4877065122127533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46930721402168274},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4413753151893616},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.16980600357055664},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1620260775089264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09422913193702698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8913099765777588},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7951439023017883},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6534271240234375},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.642876148223877},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.6189918518066406},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5770904421806335},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5646787881851196},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5639057159423828},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5332505106925964},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4877065122127533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46930721402168274},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4413753151893616},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.16980600357055664},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1620260775089264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09422913193702698},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2022.9020026","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020026","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10233239/10233249.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4e1f5f356cc2423c8b7c4320edfdce1e","is_oa":true,"landing_page_url":"https://doaj.org/article/4e1f5f356cc2423c8b7c4320edfdce1e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 6, Iss 4, Pp 465-477 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2022.9020026","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020026","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10233239/10233249.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386264128.pdf","grobid_xml":"https://content.openalex.org/works/W4386264128.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1503989105","https://openalex.org/W2317196401","https://openalex.org/W2333236502","https://openalex.org/W2345549197","https://openalex.org/W2404878167","https://openalex.org/W2596715663","https://openalex.org/W2613407954","https://openalex.org/W2616099150","https://openalex.org/W2621922713","https://openalex.org/W2735902481","https://openalex.org/W2737469766","https://openalex.org/W2751513073","https://openalex.org/W2752849956","https://openalex.org/W2752861688","https://openalex.org/W2773612851","https://openalex.org/W2792986258","https://openalex.org/W2799802109","https://openalex.org/W2801658385","https://openalex.org/W2884318141","https://openalex.org/W2884520142","https://openalex.org/W2896968981","https://openalex.org/W2901466094","https://openalex.org/W2940708510","https://openalex.org/W2965184183","https://openalex.org/W2996500300","https://openalex.org/W2998171344","https://openalex.org/W3005419988","https://openalex.org/W3018761215","https://openalex.org/W3034346322","https://openalex.org/W3034553598","https://openalex.org/W3035154879","https://openalex.org/W3047454406","https://openalex.org/W3203201894","https://openalex.org/W4250190331"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W3024364549","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"We":[0],"live":[1],"in":[2,91,204],"an":[3],"age":[4],"where":[5],"everything":[6],"around":[7],"us":[8],"is":[9,33],"being":[10],"created.":[11],"Data":[12],"generation":[13],"rates":[14],"are":[15,89,104],"so":[16],"scary,":[17],"creating":[18,36],"pressure":[19],"to":[20,57,106,116,124,128,147,184,196],"implement":[21],"costly":[22],"and":[23,27,42,94,118,121,131,136,141,156,193,202],"straightforward":[24],"data":[25,111,216],"storage":[26,192],"recovery":[28],"processes.":[29],"MapReduce":[30,46],"model":[31],"functionality":[32],"used":[34,146],"for":[35,62,66,170,182],"a":[37,52,59,78,186],"cluster":[38,85],"parallel,":[39],"distributed":[40],"algorithm,":[41],"large":[43,175],"datasets.":[44],"The":[45,151,179,207],"strategy":[47],"from":[48,71,191],"Hadoop":[49,84],"helps":[50],"develop":[51],"community":[53],"of":[54,80,102,174,177,189,199],"non-commercial":[55],"use":[56],"offer":[58],"new":[60],"algorithm":[61,74],"resolving":[63],"such":[64],"problems":[65],"commercial":[67],"applications":[68],"as":[69,77],"expected":[70],"this":[72,99,168],"working":[73],"with":[75],"insights":[76],"result":[79],"disproportionate":[81],"or":[82],"discriminatory":[83],"results.":[86],"Expected":[87],"results":[88,208],"obtained":[90],"the":[92,95,142,149,171,197,211,215],"work":[93,213],"exam":[96],"conducted":[97],"under":[98],"job;":[100],"many":[101],"them":[103],"scheduled":[105],"set":[107],"schedules,":[108],"match":[109],"matrices'":[110],"positions,":[112],"clustering":[113],"before":[114],"determining":[115],"click,":[117],"accurate":[119],"mapping":[120],"internal":[122],"reliability":[123],"be":[125],"closed":[126],"together":[127],"avoid":[129],"running":[130],"execution":[132,152],"times.":[133],"Mapper":[134],"output":[135,157],"proponents":[137],"have":[138,160],"been":[139,145,161],"implemented,":[140],"map":[143],"has":[144],"reduce":[148],"function.":[150],"input":[153],"key/value":[154,158],"pair":[155,159],"set.":[162],"This":[163],"paper":[164],"focuses":[165],"on":[166],"evaluating":[167],"technique":[169,180],"efficient":[172],"retrieval":[173],"volumes":[176],"data.":[178],"allows":[181],"capabilities":[183],"inform":[185],"massive":[187],"database":[188],"information,":[190],"indexing":[194],"techniques":[195],"distribution":[198],"queries,":[200],"scalability,":[201],"performance":[203],"heterogeneous":[205],"environments.":[206],"show":[209],"that":[210],"proposed":[212],"reduces":[214],"processing":[217],"time":[218],"by":[219],"30%.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}