{"id":"https://openalex.org/W2772554116","doi":"https://doi.org/10.1109/nca.2017.8171339","title":"Energy-efficient tailoring of VM size and tasks in cloud data centers","display_name":"Energy-efficient tailoring of VM size and tasks in cloud data centers","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772554116","doi":"https://doi.org/10.1109/nca.2017.8171339","mag":"2772554116"},"language":"en","primary_location":{"id":"doi:10.1109/nca.2017.8171339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nca.2017.8171339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 16th International Symposium on Network Computing and Applications (NCA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Energy-efficient_tailoring_of_VM_size_and_tasks_in_cloud_data_centers/27591297","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058616313","display_name":"Deafallah Alsadie","orcid":"https://orcid.org/0000-0002-4952-1136"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Deafallah Alsadie","raw_affiliation_strings":["RMIT University, School of Science, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, School of Science, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054836950","display_name":"Zahir Tari","orcid":"https://orcid.org/0000-0002-1235-9673"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zahir Tari","raw_affiliation_strings":["RMIT University, School of Science, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, School of Science, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053211329","display_name":"Eidah J. Alzahrani","orcid":"https://orcid.org/0000-0001-6011-8201"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eidah J. Alzahrani","raw_affiliation_strings":["RMIT University, School of Science, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, School of Science, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015993565","display_name":"Albert Y. Zomaya","orcid":"https://orcid.org/0000-0002-3090-1059"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Albert Y. Zomaya","raw_affiliation_strings":["The University of Sydney, School of Information Technologies, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, School of Information Technologies, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0128,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84362507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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":1.0,"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":0.9987999796867371,"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":0.992900013923645,"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/cloud-computing","display_name":"Cloud computing","score":0.8953580856323242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8362901210784912},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7353072762489319},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.7240701913833618},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.706139326095581},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.6954742074012756},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6180618405342102},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6061435341835022},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5020427703857422},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5005042552947998},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4850720465183258},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4464975595474243},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4442909061908722},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.44209566712379456},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.28930896520614624},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2062612771987915},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18837091326713562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13747602701187134}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8953580856323242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8362901210784912},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7353072762489319},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.7240701913833618},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.706139326095581},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.6954742074012756},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6180618405342102},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6061435341835022},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5020427703857422},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5005042552947998},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4850720465183258},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4464975595474243},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4442909061908722},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.44209566712379456},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.28930896520614624},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2062612771987915},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18837091326713562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13747602701187134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/nca.2017.8171339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nca.2017.8171339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 16th International Symposium on Network Computing and Applications (NCA)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma61RMIT.INST:11301599930001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/NCA.2017.8171339","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27591297","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Energy-efficient_tailoring_of_VM_size_and_tasks_in_cloud_data_centers/27591297","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27591297","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Energy-efficient_tailoring_of_VM_size_and_tasks_in_cloud_data_centers/27591297","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1502077345","https://openalex.org/W1575466580","https://openalex.org/W2012514275","https://openalex.org/W2015681217","https://openalex.org/W2030709318","https://openalex.org/W2045287414","https://openalex.org/W2060204338","https://openalex.org/W2082410059","https://openalex.org/W2107751141","https://openalex.org/W2111556044","https://openalex.org/W2129542763","https://openalex.org/W2131629857","https://openalex.org/W2136005488","https://openalex.org/W2285958804","https://openalex.org/W2307033123","https://openalex.org/W2616747538","https://openalex.org/W6676138793","https://openalex.org/W6698469232"],"related_works":["https://openalex.org/W2055187606","https://openalex.org/W1498304890","https://openalex.org/W1969542292","https://openalex.org/W4214914670","https://openalex.org/W2084875360","https://openalex.org/W3006216828","https://openalex.org/W3123077549","https://openalex.org/W2904165227","https://openalex.org/W2770088598","https://openalex.org/W70469698"],"abstract_inverted_index":{"Nowadays,":[0],"cloud":[1,34,72,130],"computing":[2,9,93,110],"has":[3,39,140],"emerged":[4],"as":[5,156],"the":[6,17,24,33,60,86,99,107,116,123,135,143,150],"most":[7],"popular":[8],"platform":[10],"due":[11],"to":[12,15,58,75],"its":[13],"ability":[14],"reduce":[16],"operating":[18,25],"costs.":[19],"A":[20,125],"sizable":[21],"chunk":[22],"of":[23,29,32,62,88,109,159,167],"costs":[26],"is":[27,83,132,163],"composed":[28],"power":[30,51,64],"consumption":[31],"data":[35],"center":[36],"alone.":[37],"It":[38],"been":[40,56],"observed":[41],"that":[42,142],"improperly":[43],"sized":[44,103],"virtual":[45,104],"machines":[46,105],"result":[47],"in":[48,70,122,153,165],"comparatively":[49],"higher":[50],"consumption.":[52],"Although":[53],"efforts":[54],"have":[55],"made":[57],"address":[59],"issue":[61],"high":[63],"consumption,":[65],"still":[66],"efficient":[67],"resource":[68,94],"allocation":[69],"a":[71,77],"environment":[73],"continues":[74],"pose":[76],"significant":[78,147],"challenge.":[79],"The":[80,112],"proposed":[81,117,144],"design":[82],"based":[84,91],"on":[85,92,106],"concept":[87],"clustering":[89],"tasks":[90,100],"requirements,":[95],"and":[96],"then":[97],"distributing":[98],"among":[101],"appropriately":[102],"basis":[108],"resources.":[111],"current":[113],"paper":[114],"evaluates":[115],"model":[118,145],"against":[119],"representational":[120],"techniques":[121],"field.":[124],"benchmark":[126],"dataset":[127],"from":[128],"Google":[129],"trace":[131],"used":[133],"for":[134],"evaluation.":[136],"Empirical":[137],"results":[138],"analysis":[139],"shown":[141],"offers":[146],"advantages":[148],"over":[149],"existing":[151],"schemes":[152],"so":[154],"far":[155],"load":[157],"balancing":[158],"active":[160],"physical":[161],"servers":[162],"concerned":[164],"terms":[166],"defined":[168],"performance":[169],"metrics.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
