{"id":"https://openalex.org/W4311517176","doi":"https://doi.org/10.3390/e24121770","title":"Tr-Predictior: An Ensemble Transfer Learning Model for Small-Sample Cloud Workload Prediction","display_name":"Tr-Predictior: An Ensemble Transfer Learning Model for Small-Sample Cloud Workload Prediction","publication_year":2022,"publication_date":"2022-12-03","ids":{"openalex":"https://openalex.org/W4311517176","doi":"https://doi.org/10.3390/e24121770","pmid":"https://pubmed.ncbi.nlm.nih.gov/36554175"},"language":"en","primary_location":{"id":"doi:10.3390/e24121770","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24121770","pdf_url":"https://www.mdpi.com/1099-4300/24/12/1770/pdf?version=1670412641","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/12/1770/pdf?version=1670412641","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053805418","display_name":"Chunhong Liu","orcid":"https://orcid.org/0000-0001-7364-0568"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunhong Liu","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038936819","display_name":"Jie Jiao","orcid":"https://orcid.org/0000-0002-0681-5206"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiao","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401806","display_name":"Weili Li","orcid":"https://orcid.org/0000-0003-2317-5121"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weili Li","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012136338","display_name":"Jingxiong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxiong Wang","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050523377","display_name":"Junna Zhang","orcid":"https://orcid.org/0000-0002-9296-6130"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junna Zhang","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","Engineering Lab of Intelligence Business, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"Engineering Lab of Intelligence Business, Xinxiang 453007, China","institution_ids":["https://openalex.org/I4210165883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053805418"],"corresponding_institution_ids":["https://openalex.org/I4210165883","https://openalex.org/I75955062"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.8672,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92452856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":"12","first_page":"1770","last_page":"1770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9983999729156494,"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":0.9983999729156494,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7954286336898804},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7740373611450195},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.7672761678695679},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6491130590438843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5554783344268799},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.521291971206665},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.49950194358825684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927723705768585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4237062633037567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954286336898804},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7740373611450195},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.7672761678695679},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6491130590438843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5554783344268799},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.521291971206665},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.49950194358825684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927723705768585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4237062633037567},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24121770","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24121770","pdf_url":"https://www.mdpi.com/1099-4300/24/12/1770/pdf?version=1670412641","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36554175","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36554175","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8e232b6c6f674ff1b7b7fded157e3bb6","is_oa":true,"landing_page_url":"https://doaj.org/article/8e232b6c6f674ff1b7b7fded157e3bb6","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":"Entropy, Vol 24, Iss 12, p 1770 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/12/1770/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24121770","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 24; Issue 12; Pages: 1770","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9778472","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9778472","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24121770","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24121770","pdf_url":"https://www.mdpi.com/1099-4300/24/12/1770/pdf?version=1670412641","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2255383777","display_name":null,"funder_award_id":"23A520036","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G6200839763","display_name":null,"funder_award_id":"61902112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311517176.pdf","grobid_xml":"https://content.openalex.org/works/W4311517176.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1984255960","https://openalex.org/W2012408753","https://openalex.org/W2039240409","https://openalex.org/W2102201884","https://openalex.org/W2115743854","https://openalex.org/W2129542763","https://openalex.org/W2141992894","https://openalex.org/W2143325592","https://openalex.org/W2297152540","https://openalex.org/W2515078008","https://openalex.org/W2560531208","https://openalex.org/W2586262377","https://openalex.org/W2607854259","https://openalex.org/W2620934568","https://openalex.org/W2807796723","https://openalex.org/W2809539044","https://openalex.org/W2883417440","https://openalex.org/W2908883246","https://openalex.org/W2944851425","https://openalex.org/W2953169926","https://openalex.org/W2992296379","https://openalex.org/W2997857369","https://openalex.org/W3006914768","https://openalex.org/W3010424471","https://openalex.org/W3019123920","https://openalex.org/W3035752139","https://openalex.org/W3089344842","https://openalex.org/W3093542184","https://openalex.org/W3095109479","https://openalex.org/W3105138264","https://openalex.org/W3109073683","https://openalex.org/W3110772809","https://openalex.org/W3132125973","https://openalex.org/W3134221369","https://openalex.org/W3135664775","https://openalex.org/W3157618166","https://openalex.org/W3179220440","https://openalex.org/W3182706339","https://openalex.org/W3213200620","https://openalex.org/W4200385936","https://openalex.org/W6678543856","https://openalex.org/W6758285113","https://openalex.org/W6790512996","https://openalex.org/W6795001094","https://openalex.org/W7067822191"],"related_works":["https://openalex.org/W2547038763","https://openalex.org/W2794896638","https://openalex.org/W1807784185","https://openalex.org/W45170056","https://openalex.org/W3202800081","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W3204228978","https://openalex.org/W1514365828"],"abstract_inverted_index":{"Accurate":[0],"workload":[1,38,98,226],"prediction":[2,40,209,227,232,239],"plays":[3],"a":[4,41,68,88,138],"key":[5],"role":[6],"in":[7,21,114,252],"intelligent":[8],"scheduling":[9],"decisions":[10],"on":[11,55,234],"cloud":[12,23,225],"platforms.":[13],"There":[14],"are":[15],"massive":[16],"amounts":[17],"of":[18,29,34,71,106,122,166,189,199,211,241,249],"short-workload":[19,190,200],"sequences":[20,73],"the":[22,26,32,44,96,103,107,115,120,123,132,145,149,153,160,164,167,172,177,181,193,203,208,212,222,235,242,246,253],"platform,":[24],"and":[25,31,59,80,118,143,156,170,196],"small":[27],"amount":[28],"data":[30,191,201],"presence":[33],"outliers":[35],"make":[36],"accurate":[37],"sequence":[39,128],"challenge.":[42],"For":[43],"above":[45,161],"issues,":[46],"this":[47],"paper":[48],"proposes":[49],"an":[50],"ensemble":[51,108,124],"learning":[52],"method":[53,70],"based":[54],"sample":[56,154],"weight":[57,133,140,147],"transfer":[58,81],"long":[60],"short-term":[61],"memory":[62],"(LSTM),":[63],"termed":[64],"as":[65],"Tr-Predictor.":[66],"Specifically,":[67],"selection":[69],"similar":[72],"combining":[74],"time":[75],"warp":[76],"edit":[77],"distance":[78],"(TWED)":[79],"entropy":[82],"(TE)":[83],"is":[84],"proposed":[85,213,254],"to":[86,112,126,152,175,206],"select":[87,144,186],"source":[89],"domain":[90],"dataset":[91,195],"with":[92,221],"higher":[93,231],"similarity":[94],"for":[95,148],"target":[97,168,173],"sequence.":[99],"Then,":[100],"we":[101,136,184],"upgrade":[102],"basic":[104],"learner":[105,150],"model":[109,117,125,157,169,174],"two-stage":[110,139],"TrAdaBoost.R2":[111],"LSTM":[113],"deep":[116],"enhance":[119],"ability":[121],"extract":[127],"features.":[129],"To":[130],"optimize":[131],"adjustment":[134,141],"strategy,":[135],"adopt":[137],"strategy":[142],"best":[146],"according":[151],"error":[155],"error.":[158],"Finally,":[159],"process":[162],"determines":[163],"parameters":[165],"uses":[171],"predict":[176],"short-task":[178],"sequences.":[179],"In":[180],"experimental":[182,216],"validation,":[183],"arbitrarily":[185],"nine":[187],"sets":[188,198],"from":[192,202],"Google":[194],"three":[197],"Alibaba":[204],"cluster":[205],"verify":[207],"effectiveness":[210],"algorithm.":[214],"The":[215,238],"results":[217],"show":[218,245],"that":[219],"compared":[220],"commonly":[223],"used":[224],"methods":[228],"Tr-Predictor":[229],"has":[230],"accuracy":[233],"small-sample":[236],"workload.":[237],"indicators":[240],"ablation":[243],"experiments":[244],"performance":[247],"gain":[248],"each":[250],"part":[251],"method.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
