{"id":"https://openalex.org/W2024083224","doi":"https://doi.org/10.1631/jzus.c1300109","title":"A mixture of HMM, GA, and Elman network for load prediction in cloud-oriented data centers","display_name":"A mixture of HMM, GA, and Elman network for load prediction in cloud-oriented data centers","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2024083224","doi":"https://doi.org/10.1631/jzus.c1300109","mag":"2024083224"},"language":"en","primary_location":{"id":"doi:10.1631/jzus.c1300109","is_oa":false,"landing_page_url":"https://doi.org/10.1631/jzus.c1300109","pdf_url":null,"source":{"id":"https://openalex.org/S199067057","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"1869-1951","issn":["1869-1951","1869-196X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311937","host_organization_name":"Zhejiang University Press","host_organization_lineage":["https://openalex.org/P4310311937","https://openalex.org/P4360969398"],"host_organization_lineage_names":["Zhejiang University Press","Zhejiang University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Zhejiang University SCIENCE C","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/A5111682344","display_name":"Da-yu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I4210128581","display_name":"Information and Communication Technologies Centre","ror":"https://ror.org/034x2fx50","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210128581","https://openalex.org/I4387156119"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Da-yu Xu","raw_affiliation_strings":["Information and Communication Technologies Centre, CSIRO, Sydney, 2122, Australia","MOE Key Laboratory of Process Optimization and Intelligent Decision-Making, Hefei University of Technology, Hefei, 230009, China","CSIRO","Hefei University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Technologies Centre, CSIRO, Sydney, 2122, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I4210128581"]},{"raw_affiliation_string":"MOE Key Laboratory of Process Optimization and Intelligent Decision-Making, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"CSIRO","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Hefei University of Technology","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100549730","display_name":"Yang Shan-lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan-lin Yang","raw_affiliation_strings":["MOE Key Laboratory of Process Optimization and Intelligent Decision-Making, Hefei University of Technology, Hefei, 230009, China","Hefei University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Process Optimization and Intelligent Decision-Making, Hefei University of Technology, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Hefei University of Technology","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008974159","display_name":"Ren Ping Liu","orcid":"https://orcid.org/0000-0001-7001-6305"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210128581","display_name":"Information and Communication Technologies Centre","ror":"https://ror.org/034x2fx50","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210128581","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ren-ping Liu","raw_affiliation_strings":["Information and Communication Technologies Centre, CSIRO, Sydney, 2122, Australia","CSIRO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Technologies Centre, CSIRO, Sydney, 2122, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I4210128581"]},{"raw_affiliation_string":"CSIRO","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111682344"],"corresponding_institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I16365422","https://openalex.org/I4210128581"],"apc_list":null,"apc_paid":null,"fwci":4.3527,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95214072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"11","first_page":"845","last_page":"858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9987000226974487,"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":0.9987000226974487,"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/T12676","display_name":"Machine Learning and ELM","score":0.9954000115394592,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8162946701049805},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7567610144615173},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.7281944155693054},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7226946353912354},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.6567184925079346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5951449275016785},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.575090765953064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3656774163246155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.315484881401062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162946701049805},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7567610144615173},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.7281944155693054},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7226946353912354},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.6567184925079346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5951449275016785},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.575090765953064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3656774163246155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.315484881401062},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1631/jzus.c1300109","is_oa":false,"landing_page_url":"https://doi.org/10.1631/jzus.c1300109","pdf_url":null,"source":{"id":"https://openalex.org/S199067057","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"1869-1951","issn":["1869-1951","1869-196X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311937","host_organization_name":"Zhejiang University Press","host_organization_lineage":["https://openalex.org/P4310311937","https://openalex.org/P4360969398"],"host_organization_lineage_names":["Zhejiang University Press","Zhejiang University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Zhejiang University SCIENCE C","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/117490","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/117490","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W22021617","https://openalex.org/W29237116","https://openalex.org/W177019013","https://openalex.org/W1486632395","https://openalex.org/W1496557148","https://openalex.org/W1968023063","https://openalex.org/W1978520392","https://openalex.org/W1981903823","https://openalex.org/W2001607878","https://openalex.org/W2010529280","https://openalex.org/W2012753837","https://openalex.org/W2021535663","https://openalex.org/W2022461857","https://openalex.org/W2025614924","https://openalex.org/W2027043498","https://openalex.org/W2027262587","https://openalex.org/W2029177847","https://openalex.org/W2047515252","https://openalex.org/W2058092208","https://openalex.org/W2075168211","https://openalex.org/W2097098223","https://openalex.org/W2099600260","https://openalex.org/W2109239225","https://openalex.org/W2110485445","https://openalex.org/W2110857932","https://openalex.org/W2111556044","https://openalex.org/W2115598073","https://openalex.org/W2117014758","https://openalex.org/W2119438912","https://openalex.org/W2121884932","https://openalex.org/W2125838338","https://openalex.org/W2129542763","https://openalex.org/W2131629857","https://openalex.org/W2136510202","https://openalex.org/W2143039774","https://openalex.org/W2144387805","https://openalex.org/W2145619843","https://openalex.org/W2152637787","https://openalex.org/W2154384045","https://openalex.org/W2158196600","https://openalex.org/W2159100150","https://openalex.org/W2168595508","https://openalex.org/W2171068274","https://openalex.org/W2483144311","https://openalex.org/W2569378140","https://openalex.org/W3118059217","https://openalex.org/W4253305097","https://openalex.org/W6679408652"],"related_works":["https://openalex.org/W1566728629","https://openalex.org/W2617987378","https://openalex.org/W1502087262","https://openalex.org/W3187368641","https://openalex.org/W2626271282","https://openalex.org/W3122388856","https://openalex.org/W1946191587","https://openalex.org/W2088726129","https://openalex.org/W1998988312","https://openalex.org/W2509820422"],"abstract_inverted_index":{"The":[0,112],"rapid":[1],"growth":[2],"of":[3,18],"computational":[4],"power":[5],"demand":[6],"from":[7,62,155],"scientific,":[8],"business,":[9],"and":[10,42,116,130],"Web":[11],"applications":[12],"has":[13],"led":[14],"to":[15,31,74,86,107,122,138,166],"the":[16,32,88,109,125,140,146,153],"emergence":[17],"cloud-oriented":[19,92],"data":[20,93,102,154],"centers.":[21,94],"These":[22],"centers":[23],"use":[24],"pay-as-you-go":[25],"execution":[26],"environments":[27],"that":[28,57,144,173],"scale":[29],"transparently":[30],"user.":[33],"Load":[34,68],"prediction":[35,55,71,76],"is":[36,72,84,105,164],"a":[37,47,81,96,158],"significant":[38],"cost-optimal":[39],"resource":[40],"allocation":[41],"energy":[43],"saving":[44],"approach":[45,83],"for":[46,91,149],"cloud":[48,110],"computing":[49],"environment.":[50],"Traditional":[51],"linear":[52],"or":[53],"nonlinear":[54],"models":[56],"forecast":[58,87,167],"future":[59,89,168],"load":[60,90],"directly":[61],"historical":[63],"information":[64,114,118],"appear":[65],"less":[66],"effective.":[67],"classification":[69],"before":[70],"necessary":[73],"improve":[75],"accuracy.":[77],"In":[78],"this":[79,156],"paper,":[80],"novel":[82],"proposed":[85],"First,":[95],"hidden":[97],"Markov":[98],"model":[99,128],"(HMM)":[100],"based":[101],"clustering":[103],"method":[104],"adopted":[106],"classify":[108],"load.":[111,151,169],"Bayesian":[113],"criterion":[115,119],"Akaike":[117],"are":[120,135],"employed":[121],"automatically":[123],"determine":[124],"optimal":[126],"HMM":[127],"size":[129],"cluster":[131,143],"numbers.":[132],"Trained":[133],"HMMs":[134],"then":[136],"used":[137,165],"identify":[139],"most":[141],"appropriate":[142],"possesses":[145],"maximum":[147],"likelihood":[148],"current":[150],"With":[152],"cluster,":[157],"genetic":[159],"algorithm":[160,175],"optimized":[161],"Elman":[162],"network":[163],"Experimental":[170],"results":[171],"show":[172],"our":[174],"outperforms":[176],"other":[177],"approaches":[178],"reported":[179],"in":[180],"previous":[181],"works.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}