{"id":"https://openalex.org/W7134819079","doi":"https://doi.org/10.1109/tcc.2026.3671450","title":"A Novel Balanced Binary Whale Optimization Algorithm for Dynamic Feature Selection in Green Cloud Computing","display_name":"A Novel Balanced Binary Whale Optimization Algorithm for Dynamic Feature Selection in Green Cloud Computing","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134819079","doi":"https://doi.org/10.1109/tcc.2026.3671450"},"language":null,"primary_location":{"id":"doi:10.1109/tcc.2026.3671450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2026.3671450","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cloud 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/A5128651551","display_name":"Mateusz Smendowski","orcid":null},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mateusz Smendowski","raw_affiliation_strings":["Faculty of Computer Science, AGH University of Krakow, Krakow, Poland"],"raw_orcid":"https://orcid.org/0009-0004-0946-2233","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092859737","display_name":"Mateusz Wojtulewicz","orcid":"https://orcid.org/0009-0008-1024-374X"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mateusz Wojtulewicz","raw_affiliation_strings":["Faculty of Computer Science, AGH University of Krakow, Krakow, Poland"],"raw_orcid":"https://orcid.org/0009-0008-1024-374X","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041013743","display_name":"Piotr Nawrocki","orcid":"https://orcid.org/0000-0003-4512-9337"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Nawrocki","raw_affiliation_strings":["Faculty of Computer Science, AGH University of Krakow, Krakow, Poland"],"raw_orcid":"https://orcid.org/0000-0003-4512-9337","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128633916","display_name":"Leszek Rutkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Leszek Rutkowski","raw_affiliation_strings":["Faculty of Computer Science, AGH University of Krakow, Krakow, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6960-9525","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, AGH University of Krakow, Krakow, Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25401153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"2","first_page":"731","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.7547000050544739,"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":0.7547000050544739,"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":0.04859999939799309,"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/T14347","display_name":"Big Data and Digital Economy","score":0.04019999876618385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7142000198364258},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6629999876022339},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6353999972343445},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4366999864578247},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4350000023841858},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.427700012922287},{"id":"https://openalex.org/keywords/binary-search-algorithm","display_name":"Binary search algorithm","score":0.4221999943256378},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4189999997615814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3961000144481659},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3873000144958496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411999702453613},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7142000198364258},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6629999876022339},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6353999972343445},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4345000088214874},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.427700012922287},{"id":"https://openalex.org/C121610932","wikidata":"https://www.wikidata.org/wiki/Q243754","display_name":"Binary search algorithm","level":3,"score":0.4221999943256378},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35690000653266907},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C75027835","wikidata":"https://www.wikidata.org/wiki/Q1064746","display_name":"Green computing","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C49740808","wikidata":"https://www.wikidata.org/wiki/Q7550116","display_name":"Sobol sequence","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcc.2026.3671450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2026.3671450","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cloud Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,181],"novel":[4],"Balanced":[5],"Binary":[6,53],"Whale":[7,54],"Optimization":[8,55],"Algorithm":[9,56,112],"(BB-WOA)":[10],"designed":[11],"specifically":[12],"for":[13],"dynamic":[14,59],"feature":[15,23],"selection":[16,24],"in":[17,27],"Green":[18],"Cloud":[19],"Computing":[20],"(GCC).":[21],"Traditional":[22],"methods":[25],"used":[26],"cloud":[28,85],"resource":[29,86],"forecasting":[30],"often":[31],"suffer":[32],"from":[33],"either":[34],"suboptimal":[35],"predictive":[36,97],"performance":[37],"or":[38],"excessive":[39],"computational":[40,117],"complexity.":[41],"To":[42],"address":[43],"this,":[44],"we":[45],"propose":[46],"significant":[47],"algorithmic":[48],"enhancements":[49],"over":[50,128],"the":[51,137,172],"standard":[52],"(B-WOA),":[57],"including":[58],"binary":[60],"transition":[61],"functions,":[62],"progressive":[63],"scaling,":[64],"diversified":[65],"population":[66],"initialization":[67],"via":[68],"Sobol":[69],"sequences,":[70],"balanced":[71],"exploration-exploitation":[72],"strategies,":[73],"and":[74,107,126,133,152,174,184],"an":[75],"activation-based":[76],"recovery":[77],"mechanism.":[78],"Our":[79],"comprehensive":[80],"experimental":[81],"evaluation":[82],"using":[83],"real-world":[84],"data":[87],"demonstrates":[88],"that":[89],"BB-WOA":[90,95,115],"outperforms":[91],"existing":[92],"methods.":[93],"Specifically,":[94],"reduces":[96,140],"error":[98],"(RMSE)":[99],"by":[100,122,143],"up":[101,166],"to":[102,105,110,146,150,155,167],"7.45%":[103],"compared":[104,109,149],"B-WOA":[106],"1.55%":[108],"Genetic":[111],"(GA).":[113],"Moreover,":[114],"achieves":[116],"improvements,":[118],"reducing":[119],"execution":[120],"time":[121],"approximately":[123],"38.30%,":[124],"64.13%,":[125],"78.53%":[127],"B-WOA,":[129,147],"Random":[130],"Search":[131],"(RS),":[132],"GA,":[134,156],"respectively.":[135],"Environmentally,":[136],"proposed":[138],"method":[139],"energy":[141],"consumption":[142],"38.48%":[144],"relative":[145,154],"64.18%":[148],"RS,":[151],"52.55%":[153],"while":[157],"simultaneously":[158],"selecting":[159],"significantly":[160],"fewer":[161],"features":[162],"(a":[163],"reduction":[164],"of":[165,176],"70.77%).":[168],"These":[169],"results":[170],"underscore":[171],"effectiveness":[173],"sustainability":[175],"BB-WOA,":[177],"positioning":[178],"it":[179],"as":[180],"highly":[182],"competitive":[183],"environmentally":[185],"friendly":[186],"solution.":[187]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-11T00:00:00"}