{"id":"https://openalex.org/W4416337089","doi":"https://doi.org/10.1007/s44443-025-00316-8","title":"SWT-CLSTM: A hybrid model for cloud workload prediction combining smooth wavelet transform and contrastive learning","display_name":"SWT-CLSTM: A hybrid model for cloud workload prediction combining smooth wavelet transform and contrastive learning","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4416337089","doi":"https://doi.org/10.1007/s44443-025-00316-8"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-025-00316-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00316-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00316-8.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00316-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102005331","display_name":"Biying Zhang","orcid":"https://orcid.org/0000-0002-8454-3744"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biying Zhang","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin University of Commerce, Harbin, 150028, China","School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin University of Commerce, Harbin, 150028, China","institution_ids":["https://openalex.org/I41208885"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102675198","display_name":"Guanghao Yang","orcid":"https://orcid.org/0009-0007-7687-7254"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghao Yang","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478087","display_name":"Feng Yu","orcid":"https://orcid.org/0000-0003-0392-5204"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yu","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085268462","display_name":"Qinghe Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghe Pan","raw_affiliation_strings":["Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin University of Commerce, Harbin, 150028, China","School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin University of Commerce, Harbin, 150028, China","institution_ids":["https://openalex.org/I41208885"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China","institution_ids":["https://openalex.org/I41208885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102005331"],"corresponding_institution_ids":["https://openalex.org/I41208885"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48948318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.6507999897003174,"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":0.6507999897003174,"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/T12127","display_name":"Software System Performance and Reliability","score":0.05339999869465828,"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":0.03319999948143959,"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":0.7401999831199646},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5471000075340271},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5350000262260437},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48190000653266907},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43630000948905945},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43619999289512634},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4034000039100647},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.375900000333786},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.35339999198913574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925999760627747},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7401999831199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6337000131607056},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5471000075340271},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48190000653266907},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43630000948905945},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4327000081539154},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-025-00316-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00316-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00316-8.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:938d37f0d5584f9e9d540ae3689aff34","is_oa":true,"landing_page_url":"https://doaj.org/article/938d37f0d5584f9e9d540ae3689aff34","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-025-00316-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00316-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00316-8.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416337089.pdf","grobid_xml":"https://content.openalex.org/works/W4416337089.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1999404301","https://openalex.org/W2018197332","https://openalex.org/W2064675550","https://openalex.org/W2114405596","https://openalex.org/W2141992894","https://openalex.org/W2170673943","https://openalex.org/W2558478802","https://openalex.org/W2613426609","https://openalex.org/W2764100055","https://openalex.org/W2782132135","https://openalex.org/W2953169926","https://openalex.org/W2955791536","https://openalex.org/W2972370624","https://openalex.org/W2973268792","https://openalex.org/W2982362620","https://openalex.org/W3002992522","https://openalex.org/W3008249971","https://openalex.org/W3024009950","https://openalex.org/W3179220440","https://openalex.org/W3199788147","https://openalex.org/W4205438547","https://openalex.org/W4206561926","https://openalex.org/W4224056477","https://openalex.org/W4283207721","https://openalex.org/W4292858705","https://openalex.org/W4310113592","https://openalex.org/W4310416691","https://openalex.org/W4313227034","https://openalex.org/W4321793365","https://openalex.org/W4365790865","https://openalex.org/W4394862704","https://openalex.org/W4396605143","https://openalex.org/W4401413998","https://openalex.org/W4402981192","https://openalex.org/W4403577330","https://openalex.org/W4405440071"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Accurately":[1],"predicting":[2],"resource":[3,15,197],"load":[4],"in":[5,39,49],"cloud":[6,40,167,195],"computing":[7,196],"environments":[8],"constitutes":[9],"a":[10,65,115,121,147],"fundamental":[11],"challenge":[12],"for":[13,101,159],"dynamic":[14],"allocation.":[16],"Traditional":[17],"threshold-based":[18],"static":[19],"scheduling":[20],"strategies":[21],"and":[22,34,54,94,98,108,127,139,178],"linear":[23],"time-series":[24],"prediction":[25,192],"methods":[26,177],"struggle":[27],"to":[28,92,135],"address":[29],"the":[30,102,112,144,155,172,190],"nonlinear,":[31],"abrupt":[32],"changes":[33],"multi-time":[35],"scale":[36],"characteristics":[37],"inherent":[38],"workloads.":[41],"Furthermore,":[42],"existing":[43],"deep":[44,180],"learning":[45,151,181],"approaches":[46],"exhibit":[47],"limitations":[48],"terms":[50],"of":[51,105,146,194],"noise":[52],"robustness":[53],"multi-scale":[55],"feature":[56],"modeling.":[57],"To":[58],"overcome":[59],"these":[60],"challenges,":[61],"this":[62],"study":[63],"introduces":[64],"novel":[66],"Contrastive":[67],"Learning":[68],"Long":[69],"Short-Term":[70],"Memory":[71],"(LSTM)":[72],"Network":[73,125],"model,":[74],"termed":[75],"SWT-CLSTM,":[76],"which":[77],"integrates":[78],"Savitzky-Golay":[79],"(SG)":[80],"filtering":[81],"with":[82],"Smooth":[83],"Wavelet":[84],"Transform":[85],"(SWT).":[86],"This":[87,131],"approach":[88],"employs":[89],"SG":[90],"filters":[91],"preprocess":[93],"attenuate":[95],"high-frequency":[96,109],"noise,":[97],"utilizes":[99],"SWT":[100],"multi-resolution":[103],"decomposition":[104],"low-frequency":[106],"trends":[107],"fluctuations.":[110],"Additionally,":[111],"model":[113,140,174],"incorporates":[114],"dual-path":[116],"neural":[117],"network":[118],"architecture,":[119],"comprising":[120],"one-dimensional":[122],"Convolutional":[123],"Neural":[124],"(CNN)":[126],"an":[128],"attention-enhanced":[129],"LSTM.":[130],"architecture":[132],"is":[133],"designed":[134],"extract":[136],"local":[137],"patterns":[138],"long-term":[141],"dependencies.":[142],"Moreover,":[143],"introduction":[145],"frequency-aware":[148],"hierarchical":[149],"contrastive":[150],"framework":[152],"significantly":[153],"enhances":[154],"model\u2019s":[156],"generalization":[157],"capabilities":[158],"non-stationary":[160],"data.":[161],"Experimental":[162],"evaluations":[163],"conducted":[164],"on":[165],"public":[166],"task":[168],"datasets":[169],"confirm":[170],"that":[171],"SWT-CLSTM":[173],"outperforms":[175],"traditional":[176],"prevailing":[179],"models":[182],"across":[183],"various":[184],"time":[185],"granularities,":[186],"thereby":[187],"markedly":[188],"enhancing":[189],"temporal":[191],"accuracy":[193],"scheduling.":[198]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-11-18T00:00:00"}