{"id":"https://openalex.org/W4396982291","doi":"https://doi.org/10.1109/tpami.2024.3402061","title":"A Multiple Controlled Toffoli Driven Adaptive Quantum Neural Network Model for Dynamic Workload Prediction in Cloud Environments","display_name":"A Multiple Controlled Toffoli Driven Adaptive Quantum Neural Network Model for Dynamic Workload Prediction in Cloud Environments","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4396982291","doi":"https://doi.org/10.1109/tpami.2024.3402061","pmid":"https://pubmed.ncbi.nlm.nih.gov/38753476"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3402061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3402061","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5008286763","display_name":"Ishu Gupta","orcid":"https://orcid.org/0000-0003-3746-6034"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ishu Gupta","raw_affiliation_strings":["International Institute of Information Technology Bangalore (IIIT-B), Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Bangalore (IIIT-B), Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033305584","display_name":"Deepika Saxena","orcid":"https://orcid.org/0000-0002-6654-5535"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Deepika Saxena","raw_affiliation_strings":["Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013082893","display_name":"Ashutosh Kumar Singh","orcid":"https://orcid.org/0000-0002-8053-5050"},"institutions":[{"id":"https://openalex.org/I288749910","display_name":"Indian Institute of Science Education and Research, Bhopal","ror":"https://ror.org/02rb21j89","country_code":"IN","type":"education","lineage":["https://openalex.org/I288749910"]},{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashutosh Kumar Singh","raw_affiliation_strings":["Indian Institute of Information Technology, Bhopal, Madhya Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Bhopal, Madhya Pradesh, India","institution_ids":["https://openalex.org/I288749910","https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010460707","display_name":"Chung\u2010Nan Lee","orcid":"https://orcid.org/0000-0002-0789-1956"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Nan Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Cloud Computing Research Center, National Sun Yat-Sen University, Kaohsiung City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Cloud Computing Research Center, National Sun Yat-Sen University, Kaohsiung City, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008286763"],"corresponding_institution_ids":["https://openalex.org/I181514455"],"apc_list":null,"apc_paid":null,"fwci":6.0715,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96989513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"46","issue":"12","first_page":"7574","last_page":"7588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9498000144958496,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9498000144958496,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9025999903678894,"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/computer-science","display_name":"Computer science","score":0.7393573522567749},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6793301105499268},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6419260501861572},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6029167175292969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766795873641968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4389026165008545},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08535933494567871}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393573522567749},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6793301105499268},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6419260501861572},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6029167175292969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766795873641968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4389026165008545},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08535933494567871}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3402061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3402061","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38753476","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38753476","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2030259025","https://openalex.org/W2177019876","https://openalex.org/W2473271044","https://openalex.org/W2548268629","https://openalex.org/W2560531208","https://openalex.org/W2775287056","https://openalex.org/W2791512297","https://openalex.org/W2921098068","https://openalex.org/W2965302736","https://openalex.org/W2986615528","https://openalex.org/W3011301256","https://openalex.org/W3032515432","https://openalex.org/W3125122684","https://openalex.org/W3154945144","https://openalex.org/W3163796971","https://openalex.org/W3196922736","https://openalex.org/W4206236643","https://openalex.org/W4221005058","https://openalex.org/W4226527655","https://openalex.org/W6640212811"],"related_works":["https://openalex.org/W2547038763","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"The":[0,103,125,186],"key":[1],"challenges":[2],"in":[3,136],"cloud":[4,49],"computing":[5,108],"encompass":[6],"dynamic":[7,48,121],"resource":[8],"scaling,":[9],"load":[10],"balancing,":[11],"and":[12,47,97,122,130,156,181,191],"power":[13],"consumption.":[14],"Accurate":[15],"workload":[16,89],"prediction":[17,90],"is":[18,109],"identified":[19],"as":[20,85,87],"a":[21,55,66,169],"crucial":[22],"strategy":[23],"to":[24,32,77,82,115,179,211],"address":[25],"these":[26],"challenges.":[27],"Despite":[28],"numerous":[29],"methods":[30,198],"proposed":[31],"tackle":[33],"this":[34,52,61],"issue,":[35],"existing":[36,217],"approaches":[37],"fall":[38],"short":[39],"of":[40,45,106,139,145,159],"capturing":[41],"the":[42,94,137,142,154,184,192,216],"high-variance":[43],"nature":[44],"volatile":[46],"workloads.":[50,124],"Consequently,":[51],"paper":[53,64],"introduces":[54],"novel":[56,67],"model":[57,76],"aimed":[58],"at":[59,153],"addressing":[60],"limitation.":[62],"This":[63],"presents":[65],"Multiple":[68,146],"Controlled":[69,147],"Toffoli-driven":[70],"Adaptive":[71,171],"Quantum":[72,160,172],"Neural":[73,161],"Network":[74,162],"(MCT-AQNN)":[75],"establish":[78],"an":[79],"empirical":[80],"solution":[81],"complex,":[83],"elastic":[84],"well":[86],"challenging":[88],"problems":[91],"by":[92],"optimizing":[93],"exploration,":[95],"adaption,":[96],"exploitation":[98],"proficiencies":[99],"through":[100],"quantum":[101,107],"learning.":[102],"computational":[104],"adaptability":[105],"ingrained":[110],"with":[111,196],"machine":[112],"learning":[113,166],"algorithms":[114],"derive":[116],"more":[117],"precise":[118],"correlations":[119],"from":[120],"complex":[123],"furnished":[126],"input":[127],"data":[128],"point":[129],"hatched":[131],"neural":[132],"weights":[133],"are":[134,151,189,194],"refitted":[135],"form":[138],"qubits":[140],"while":[141],"controlling":[143],"effects":[144],"Toffoli":[148],"(MCT)":[149],"gates":[150],"operated":[152],"hidden":[155],"output":[157],"layers":[158],"(QNN)":[163],"for":[164],"enhancing":[165],"capabilities.":[167],"Complimentarily,":[168],"Uniformly":[170],"Machine":[173],"Learning":[174],"(UAQL)":[175],"algorithm":[176],"has":[177,209],"evolved":[178],"functionally":[180],"effectually":[182],"train":[183],"QNN.":[185],"extensive":[187],"experiments":[188],"conducted":[190],"comparisons":[193],"performed":[195],"state-of-the-art":[197],"using":[199],"four":[200],"real-world":[201],"benchmark":[202],"datasets.":[203],"Experimental":[204],"results":[205],"evince":[206],"that":[207],"MCT-AQNN":[208],"up":[210],"32%-96%":[212],"higher":[213],"accuracy":[214],"than":[215],"approaches.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}