{"id":"https://openalex.org/W4287888714","doi":"https://doi.org/10.1109/access.2022.3193770","title":"The Performance Optimization of Big Data Processing by Adaptive MapReduce Workflow","display_name":"The Performance Optimization of Big Data Processing by Adaptive MapReduce Workflow","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4287888714","doi":"https://doi.org/10.1109/access.2022.3193770"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3193770","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193770","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09839461.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09839461.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100318313","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-9229-6405"},"institutions":[{"id":"https://openalex.org/I74899385","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22","country_code":"AU","type":"education","lineage":["https://openalex.org/I74899385"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Engineering and Technology, Central Queensland University, Rockhampton, QLD, Australia","School of Engineering &#x0026"],"raw_orcid":"https://orcid.org/0000-0002-9229-6405","affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Central Queensland University, Rockhampton, QLD, Australia","institution_ids":["https://openalex.org/I74899385"]},{"raw_affiliation_string":"School of Engineering &#x0026","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031303591","display_name":"Maolin Tang","orcid":"https://orcid.org/0000-0002-2416-4101"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maolin Tang","raw_affiliation_strings":["School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2416-4101","affiliations":[{"raw_affiliation_string":"School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9292,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79685157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"79004","last_page":"79020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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":0.9998000264167786,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9986000061035156,"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/T11478","display_name":"Caching and Content Delivery","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8827002048492432},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.8493501543998718},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7089799642562866},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6216981410980225},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5358312129974365},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5068665146827698},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.5012936592102051},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4690799117088318},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.4274284839630127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22137650847434998},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20009645819664001},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12976014614105225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12079286575317383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8827002048492432},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8493501543998718},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7089799642562866},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6216981410980225},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5358312129974365},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5068665146827698},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.5012936592102051},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4690799117088318},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.4274284839630127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22137650847434998},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20009645819664001},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12976014614105225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12079286575317383},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3193770","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193770","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09839461.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c9f5fa541c33484ea19960303f2de3c2","is_oa":true,"landing_page_url":"https://doaj.org/article/c9f5fa541c33484ea19960303f2de3c2","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":"IEEE Access, Vol 10, Pp 79004-79020 (2022)","raw_type":"article"},{"id":"pmh:oai:eprints.qut.edu.au:234702","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Contribution to Journal"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3193770","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193770","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09839461.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320980","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287888714.pdf","grobid_xml":"https://content.openalex.org/works/W4287888714.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1604922599","https://openalex.org/W2118428193","https://openalex.org/W2163291889","https://openalex.org/W2295280497","https://openalex.org/W2514628732","https://openalex.org/W2751238885","https://openalex.org/W2763642597","https://openalex.org/W2769815569","https://openalex.org/W2781513871","https://openalex.org/W2953559629","https://openalex.org/W2990298958","https://openalex.org/W3011407922","https://openalex.org/W3022247380","https://openalex.org/W3027074067","https://openalex.org/W3086007304","https://openalex.org/W3109285566","https://openalex.org/W3111606561","https://openalex.org/W3194151125","https://openalex.org/W3209561030","https://openalex.org/W4386721243","https://openalex.org/W6743849542","https://openalex.org/W6758200018"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W3117246195","https://openalex.org/W156620619","https://openalex.org/W2098233217","https://openalex.org/W2914363205","https://openalex.org/W595346907","https://openalex.org/W2616249226","https://openalex.org/W2997844990","https://openalex.org/W1598221548","https://openalex.org/W2081850291"],"abstract_inverted_index":{"The":[0,46,109,145,167,183,235],"discussion":[1],"context":[2],"of":[3,10,25,35,42,76,94,209,233,237],"this":[4,79],"paper":[5,21,80],"is":[6],"big":[7,43,164],"data":[8,44,165],"processing":[9],"MapReduce":[11,96,118,203,224],"by":[12,61,156,212],"volunteer":[13,36],"computing":[14,138,210],"in":[15,55],"dynamic":[16],"and":[17,100,174,205],"opportunistic":[18],"environments.":[19],"This":[20],"conducts":[22],"a":[23,82,101,149],"series":[24],"simulations":[26,50],"to":[27,39,113,161,170,215,230,241],"explore":[28],"the":[29,32,49,69,74,122,131,140,157,163,171,177,180,189,201,207,221,228,231,238],"relationship":[30],"between":[31],"overall":[33,70],"performance":[34,199],"overlays":[37,105,111],"responding":[38],"different":[40],"workload":[41,178],"problems.":[45],"discovery":[47,75],"from":[48],"includes":[51],"some":[52],"optimization":[53,77,123,141,151,172,190],"points":[54,124,142,173],"overlay":[56],"size,":[57],"going":[58],"over":[59],"which":[60,85],"adding":[62],"more":[63,242],"volunteers":[64,88,217,229],"brings":[65],"little":[66],"benefit":[67],"for":[68,106],"performance.":[71],"Based":[72],"on":[73],"points,":[78],"proposes":[81],"bootstrapping":[83,159],"protocol,":[84],"can":[86,125,134],"adapt":[87],"into":[89],"variable-sizes":[90],"overlays,":[91],"enabling":[92],"workflow":[93,116,204],"single-round":[95],"or":[97,103,196],"multiple-round":[98],"MapReduce,":[99],"single":[102],"multiple":[104],"each":[107],"round.":[108],"variable":[110],"aim":[112],"create":[114],"adaptive":[115],"during":[117,137,218],"processing,":[119],"so":[120],"that":[121,153,188],"be":[126,135],"caught.":[127],"As":[128],"another":[129],"benefit,":[130],"unnecessary":[132],"computing-capacities":[133],"released":[136],"when":[139],"are":[143,154],"reached.":[144],"case":[146],"study":[147],"shows":[148],"few":[150],"workflows":[152,168],"formed":[155],"proposed":[158],"protocol":[160],"process":[162],"cases.":[166],"lead":[169],"dynamically":[175],"balance":[176],"at":[179],"same":[181],"time.":[182],"experiment":[184],"results":[185],"have":[186,192,246],"demonstrated":[187],"strategies":[191],"either":[193],"achieved":[194],"36%":[195],"71%":[197],"higher":[198],"than":[200],"plain":[202,223],"minimized":[206],"use":[208],"resources":[211],"releasing":[213],"12.5%":[214],"75%":[216],"computing,":[219],"where":[220],"original":[222],"must":[225],"hold":[226],"all":[227],"end":[232],"computing.":[234],"extensibility":[236],"simulation":[239],"parameterization":[240],"diverse":[243],"real-world":[244],"applications":[245],"been":[247],"clarified.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}