{"id":"https://openalex.org/W7128642042","doi":"https://doi.org/10.1109/access.2026.3663565","title":"Optimizing Cloud Service Efficiency With Infrastructure-Aware Scheduling","display_name":"Optimizing Cloud Service Efficiency With Infrastructure-Aware Scheduling","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128642042","doi":"https://doi.org/10.1109/access.2026.3663565"},"language":null,"primary_location":{"id":"doi:10.1109/access.2026.3663565","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3663565","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3663565","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125670403","display_name":"Chengzhi Piao","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chengzhi Piao","raw_affiliation_strings":["Department of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0008-8064-5525","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047889660","display_name":"E Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunsam Kim","raw_affiliation_strings":["Department of Computer Engineering, Hongik University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9393-4002","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Hongik University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015785399","display_name":"Choonhwa Lee","orcid":"https://orcid.org/0000-0002-6564-2392"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choonhwa Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6564-2392","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5125670403"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":48.9094,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99304092,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"24686","last_page":"24699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9265999794006348,"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":0.9265999794006348,"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/T14347","display_name":"Big Data and Digital Economy","score":0.038600001484155655,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.009600000455975533,"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":0.6323000192642212},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6205000281333923},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5734999775886536},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5394999980926514},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.5317000150680542},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.47749999165534973},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.459199994802475},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.3723999857902527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8424000144004822},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.689300000667572},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6323000192642212},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6205000281333923},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5734999775886536},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5394999980926514},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.5317000150680542},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.47749999165534973},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.459199994802475},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.36910000443458557},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.3463999927043915},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.336899995803833},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.3303999900817871},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.3188000023365021},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2768000066280365},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2026.3663565","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3663565","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3663565","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3663565","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.42090752720832825,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G7782320030","display_name":null,"funder_award_id":"RS-2021-II210590","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,18,34,38,63,103,120,131],"rapid":[2],"development":[3],"of":[4,14,37,105],"cloud-native":[5,30],"computing":[6],"technologies,":[7],"containers":[8],"have":[9],"become":[10],"an":[11],"integral":[12],"part":[13],"cloud":[15],"infrastructure.":[16],"At":[17],"same":[19],"time,":[20],"Kubernetes":[21,48,77,132],"has":[22],"positioned":[23],"itself":[24],"as":[25],"a":[26,42,72,90,124],"solid":[27],"foundation":[28],"for":[29,76],"orchestration":[31],"platforms.":[32],"However,":[33],"exponential":[35],"growth":[36],"container":[39],"adoption":[40],"raises":[41],"concern":[43],"over":[44],"energy":[45,57],"usage.":[46],"Existing":[47],"scheduling":[49,64,74,99],"approaches":[50],"are":[51],"not":[52],"sophisticated":[53],"enough":[54],"to":[55,93,130],"factor":[56],"efficiency":[58],"and":[59,83,107],"infrastructure":[60,81],"differences":[61],"into":[62],"decisions.":[65],"To":[66],"address":[67],"these":[68],"shortages,":[69],"we":[70],"propose":[71],"novel":[73],"system":[75,88],"clusters":[78],"that":[79,119],"considers":[80],"specifics":[82],"further":[84,108],"task":[85],"requirements.":[86],"The":[87],"uses":[89],"benchmarking":[91],"suite":[92],"model":[94],"node":[95],"performance,":[96],"selects":[97],"appropriate":[98],"algorithms":[100],"based":[101],"on":[102],"number":[104],"tasks,":[106],"optimizes":[109],"cluster":[110],"power":[111,125],"consumption":[112,126],"through":[113],"re-scheduling.":[114],"Our":[115],"evaluation":[116],"results":[117],"show":[118],"proposed":[121],"approach":[122],"achieves":[123],"reduction":[127],"of18.46%":[128],"compared":[129],"scheduler.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2026-02-12T00:00:00"}