{"id":"https://openalex.org/W1422902342","doi":"https://doi.org/10.4018/ijghpc.2015040105","title":"A Self-Adaptive Prediction Algorithm for Cloud Workloads","display_name":"A Self-Adaptive Prediction Algorithm for Cloud Workloads","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1422902342","doi":"https://doi.org/10.4018/ijghpc.2015040105","mag":"1422902342"},"language":"en","primary_location":{"id":"doi:10.4018/ijghpc.2015040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2015040105","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and High Performance Computing","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/A5100786428","display_name":"Li Mao","orcid":"https://orcid.org/0000-0003-3955-1013"},"institutions":[{"id":"https://openalex.org/I4210147983","display_name":"Guangdong Police College","ror":"https://ror.org/05krxyw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147983"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Mao","raw_affiliation_strings":["Research Institute of Computer Systems, South China University of Technology, Guangzhou, China & Department of Computer Science, Guang Dong Police Officer College, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Computer Systems, South China University of Technology, Guangzhou, China & Department of Computer Science, Guang Dong Police Officer College, Guangzhou, China","institution_ids":["https://openalex.org/I4210147983","https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088356478","display_name":"Deyu Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Qi","raw_affiliation_strings":["Research Institute of Computer Systems, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Computer Systems, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007440245","display_name":"Weiwei Lin","orcid":"https://orcid.org/0000-0001-6876-1795"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022519731","display_name":"Chaoyue Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyue Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100786428"],"corresponding_institution_ids":["https://openalex.org/I4210147983","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.8688,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94789054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"2","first_page":"65","last_page":"76"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9846000075340271,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.973800003528595,"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":0.8163247108459473},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8106777667999268},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.755782961845398},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5763927102088928},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5341004133224487},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.5258967280387878},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4897489547729492},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.42426687479019165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4018670618534088},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35092341899871826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24570432305335999},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12352734804153442},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09464383125305176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163247108459473},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8106777667999268},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.755782961845398},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5763927102088928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5341004133224487},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.5258967280387878},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4897489547729492},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.42426687479019165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4018670618534088},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35092341899871826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24570432305335999},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12352734804153442},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09464383125305176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijghpc.2015040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijghpc.2015040105","pdf_url":null,"source":{"id":"https://openalex.org/S43307632","display_name":"International Journal of Grid and High Performance Computing","issn_l":"1938-0259","issn":["1938-0259","1938-0267"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and High Performance Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jghpc0:v:7:y:2015:i:2:p:65-76","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJGHPC.2015040105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W34570677","https://openalex.org/W1943385891","https://openalex.org/W1983732937","https://openalex.org/W1990229375","https://openalex.org/W2119438912","https://openalex.org/W2148459868","https://openalex.org/W2154384045","https://openalex.org/W2326514675","https://openalex.org/W2361405883","https://openalex.org/W2374890570","https://openalex.org/W2375770829"],"related_works":["https://openalex.org/W2547038763","https://openalex.org/W2055187606","https://openalex.org/W1969542292","https://openalex.org/W4214914670","https://openalex.org/W1498304890","https://openalex.org/W2084875360","https://openalex.org/W3006216828","https://openalex.org/W2904165227","https://openalex.org/W2089689241","https://openalex.org/W3123077549"],"abstract_inverted_index":{"It":[0],"is":[1,45,58,128],"difficult":[2],"to":[3,40,59,111,130],"analyze":[4],"the":[5,29,54,61,66,79,88,97,102,113],"workload":[6,98],"in":[7,43,47,109,116],"complex":[8],"cloud":[9,81,118,126],"computing":[10],"environments":[11],"with":[12,76,101],"a":[13,36,92,117,121],"single":[14],"prediction":[15,26,56,63,72],"algorithm":[16,19,27,57,90,115],"as":[17],"each":[18],"has":[20,91],"its":[21],"own":[22],"shortcomings.":[23],"A":[24],"self-adaptive":[25,55],"combining":[28],"advantages":[30],"of":[31,53,65,71,125],"linear":[32],"regression":[33],"(LR)":[34],"and":[35,106,134],"BP":[37,103],"neural":[38,104],"network":[39,105],"predict":[41],"workloads":[42,77],"clouds":[44],"proposed":[46,89,114],"this":[48],"paper.":[49],"The":[50,83],"main":[51],"idea":[52],"choose":[60],"better":[62],"method":[64],"future":[67],"workload.":[68],"Some":[69],"experiments":[70],"algorithms":[73],"are":[74],"conducted":[75],"on":[78,96],"public":[80],"servers.":[82],"experimental":[84],"results":[85],"show":[86],"that":[87],"relatively":[93],"high":[94],"accuracy":[95],"predictions":[99],"compared":[100],"LR.":[107],"Furthermore,":[108],"order":[110],"use":[112],"data":[119],"center,":[120],"dynamic":[122],"scheduling":[123],"architecture":[124],"resources":[127],"designed":[129],"improve":[131],"resource":[132],"utilization":[133],"reduce":[135],"energy":[136],"consumption.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}