{"id":"https://openalex.org/W3003992795","doi":"https://doi.org/10.1109/indin41052.2019.8972019","title":"A Deep Neural Network based Approach to Energy Efficiency Analysis for Cloud Data Center","display_name":"A Deep Neural Network based Approach to Energy Efficiency Analysis for Cloud Data Center","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003992795","doi":"https://doi.org/10.1109/indin41052.2019.8972019","mag":"3003992795"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-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/A5026717994","display_name":"Hibat-Allah Ounifi","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hibat-Allah Ounifi","raw_affiliation_strings":["&#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS),Department of Software and IT Engineering,Canada","Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Canada"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS),Department of Software and IT Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063979905","display_name":"Abdelouahed Gherbi","orcid":"https://orcid.org/0000-0001-9117-5743"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdelouahed Gherbi","raw_affiliation_strings":["&#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS),Department of Software and IT Engineering,Canada","Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Canada"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS),Department of Software and IT Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063425543","display_name":"Nadjia Kara","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nadjia Kara","raw_affiliation_strings":["&#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS),Department of Software and IT Engineering,Canada","Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Canada"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS),Department of Software and IT Engineering,Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Department of Software and IT Engineering, \u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030219187","display_name":"Wubin Li","orcid":"https://orcid.org/0000-0002-5257-0350"},"institutions":[{"id":"https://openalex.org/I4210094041","display_name":"Ericsson (Canada)","ror":"https://ror.org/00nas2c56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210094041"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wubin Li","raw_affiliation_strings":["Ericsson,Ericsson Research,Canada","Ericsson Research, Ericsson, Canada"],"affiliations":[{"raw_affiliation_string":"Ericsson,Ericsson Research,Canada","institution_ids":["https://openalex.org/I4210094041"]},{"raw_affiliation_string":"Ericsson Research, Ericsson, Canada","institution_ids":["https://openalex.org/I4210094041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026717994"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.7044,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80830975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1397","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9955999851226807,"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/T12238","display_name":"Green IT and Sustainability","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7078077793121338},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6951941251754761},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6364620923995972},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6352757215499878},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.6248013973236084},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6029559969902039},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.583404541015625},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5587664842605591},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5308998823165894},{"id":"https://openalex.org/keywords/information-and-communications-technology","display_name":"Information and Communications Technology","score":0.5029200911521912},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4141491949558258},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39913904666900635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3749840259552002},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33642345666885376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33302515745162964},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1474132239818573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12269750237464905},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1108546257019043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08891308307647705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078077793121338},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6951941251754761},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6364620923995972},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6352757215499878},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.6248013973236084},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6029559969902039},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.583404541015625},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5587664842605591},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5308998823165894},{"id":"https://openalex.org/C67363961","wikidata":"https://www.wikidata.org/wiki/Q5268834","display_name":"Information and Communications Technology","level":2,"score":0.5029200911521912},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4141491949558258},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39913904666900635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3749840259552002},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33642345666885376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33302515745162964},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1474132239818573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12269750237464905},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1108546257019043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08891308307647705},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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:10.1109/indin41052.2019.8972019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:20338","is_oa":false,"landing_page_url":"http://espace2.etsmtl.ca/id/eprint/20338/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1781690630","https://openalex.org/W1800030863","https://openalex.org/W1999798000","https://openalex.org/W2031403165","https://openalex.org/W2075424814","https://openalex.org/W2160815625","https://openalex.org/W2184045248","https://openalex.org/W2236910285","https://openalex.org/W2284351912","https://openalex.org/W2327388626","https://openalex.org/W2418829990","https://openalex.org/W2485635953","https://openalex.org/W2493521645","https://openalex.org/W2728496778","https://openalex.org/W2736578080","https://openalex.org/W2782301536","https://openalex.org/W2808980893","https://openalex.org/W2886097115","https://openalex.org/W2890141553","https://openalex.org/W2899702405","https://openalex.org/W2905523282","https://openalex.org/W2981525189","https://openalex.org/W4214894150","https://openalex.org/W6722647274","https://openalex.org/W6752571168","https://openalex.org/W6754447547","https://openalex.org/W6769025719"],"related_works":["https://openalex.org/W1965825568","https://openalex.org/W2181472888","https://openalex.org/W1999404995","https://openalex.org/W2315765587","https://openalex.org/W3086648155","https://openalex.org/W2102148524","https://openalex.org/W2165967062","https://openalex.org/W4389065284","https://openalex.org/W2903994135","https://openalex.org/W2185314374"],"abstract_inverted_index":{"The":[0,67,165],"energy":[1,88,120,140],"consumption":[2],"growth":[3,32],"of":[4,16,25,30,57,69,74,110,135,168],"the":[5,17,44,72,75,92,108,118,126,133,178],"Information":[6],"and":[7,60,64,71,85,181],"Communication":[8],"Technology":[9],"(ICT)":[10],"sector":[11],"contributes":[12],"to":[13,37,80,116,131],"almost":[14],"2%":[15],"global":[18],"carbon":[19],"footprint":[20],"with":[21,145],"an":[22,143],"estimated":[23],"trend":[24],"3-3.6%":[26],"by":[27],"2020.":[28],"Most":[29],"this":[31,99,104,169],"(45%)":[33],"can":[34],"be":[35],"attributed":[36],"data":[38],"centers":[39],"(DC)":[40],"which":[41],"now":[42],"represent":[43],"core":[45],"infrastructure":[46],"for":[47,186],"different":[48,76],"industries.":[49],"Furthermore,":[50],"cloud":[51],"DCs":[52],"are":[53],"complex":[54],"systems":[55],"composed":[56],"several":[58],"ICT":[59],"non-ICT":[61],"(i.e.":[62],"mechanical":[63],"electrical)":[65],"sub-systems.":[66],"variety":[68],"configurations":[70],"inter-dependencies":[73],"DC":[77,87,119,137],"sub-systems":[78,138],"leads":[79],"enormous":[81],"challenges":[82],"in":[83,103],"understanding":[84],"optimizing":[86],"efficiency":[89,121],"based":[90],"on":[91,106,139],"Power":[93],"Usage":[94],"Effectiveness":[95],"(PUE)":[96],"metric.":[97],"Within":[98],"context,":[100],"we":[101,152],"focus":[102],"work":[105],"analyzing":[107],"behavior":[109],"Deep":[111],"Neural":[112],"Network":[113],"(DNN)-based":[114],"model":[115,128,156,176],"predict":[117],"metric":[122],"(PUE).":[123],"In":[124],"fact,":[125],"proposed":[127,174],"is":[129],"used":[130],"evaluate":[132],"impact":[134],"various":[136],"efficiency.":[141],"Through":[142],"experimentation":[144,170],"real":[146,150],"datasets":[147],"from":[148],"a":[149,158,187],"DC,":[151],"observed":[153],"that":[154,172],"DNN-based":[155,175],"achieves":[157],"good":[159],"Root":[160],"Mean":[161],"Square":[162],"Error":[163],"(RMSE).":[164],"obtained":[166],"results":[167],"indicate":[171],"our":[173],"improves":[177],"PUE":[179],"optimization,":[180],"consequently,":[182],"shows":[183],"its":[184],"promise":[185],"practical":[188],"implementation.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
