{"id":"https://openalex.org/W4402474350","doi":"https://doi.org/10.1109/ccece59415.2024.10667074","title":"Anomaly Detection-Based Multilevel Ensemble Learning for CPU Prediction in Cloud Data Centers","display_name":"Anomaly Detection-Based Multilevel Ensemble Learning for CPU Prediction in Cloud Data Centers","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W4402474350","doi":"https://doi.org/10.1109/ccece59415.2024.10667074"},"language":"en","primary_location":{"id":"doi:10.1109/ccece59415.2024.10667074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece59415.2024.10667074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-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/A5029133638","display_name":"Mustafa Daraghmeh","orcid":"https://orcid.org/0000-0003-3597-2275"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mustafa Daraghmeh","raw_affiliation_strings":["Concordia University,Electrical and Computer Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072134441","display_name":"Anjali Agarwal","orcid":"https://orcid.org/0000-0003-3639-3304"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anjali Agarwal","raw_affiliation_strings":["Concordia University,Electrical and Computer Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032187551","display_name":"Yaser Jararweh","orcid":"https://orcid.org/0000-0002-4403-3846"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Yaser Jararweh","raw_affiliation_strings":["Jordan University of Science and Technology,Computer Science,Irbid,Jordan"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology,Computer Science,Irbid,Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029133638"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66650151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"559","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9962000250816345,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7657448053359985},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7361773252487183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956238746643066},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5182200074195862},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4741862714290619},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4086710214614868},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3863362669944763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32416272163391113},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09931948781013489}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7657448053359985},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7361773252487183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956238746643066},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5182200074195862},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4741862714290619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4086710214614868},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3863362669944763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32416272163391113},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09931948781013489},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece59415.2024.10667074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece59415.2024.10667074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1808258884","https://openalex.org/W2101234009","https://openalex.org/W2110374615","https://openalex.org/W2789758093","https://openalex.org/W2969944804","https://openalex.org/W3105640742","https://openalex.org/W3179220440","https://openalex.org/W3195108657","https://openalex.org/W4211062436","https://openalex.org/W4225536339","https://openalex.org/W4240294902","https://openalex.org/W4293770403","https://openalex.org/W4308621130","https://openalex.org/W4313591768","https://openalex.org/W4366439871","https://openalex.org/W4377022876","https://openalex.org/W4381194802","https://openalex.org/W4385688638","https://openalex.org/W4390188287"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"In":[0],"today\u2019s":[1],"cloud":[2,22,61,83,142,163],"computing":[3,164],"era,":[4],"accurate":[5,116],"forecasting":[6],"of":[7,59,132,141,153],"CPU":[8,79,105,155],"usage":[9,80,106],"is":[10],"crucial":[11],"to":[12,38,55,77,98,137],"maximize":[13],"performance":[14],"and":[15,28,42,71,100,134],"energy":[16],"efficiency":[17],"in":[18,30,92,128,162],"data":[19,23,62,84,95],"centers.":[20,63,85],"As":[21],"centers":[24],"become":[25],"more":[26,40],"complex":[27],"larger":[29],"scale,":[31],"traditional":[32],"predictive":[33],"models":[34,114],"may":[35],"require":[36],"enhancements":[37],"incorporate":[39],"sophisticated":[41,49],"comprehensive":[43],"solutions.":[44],"This":[45],"paper":[46],"presents":[47],"a":[48],"multilevel":[50,72,111],"learning":[51],"framework":[52,66],"specifically":[53],"tailored":[54],"address":[56,101],"the":[57,93,104,130,138,147,158],"requirements":[58],"contemporary":[60],"The":[64],"proposed":[65],"synergistically":[67],"combines":[68],"anomaly":[69,87],"detection":[70,88],"ensemble":[73],"learning-based":[74],"regression":[75],"prediction":[76,81,113],"improve":[78],"within":[82,103],"Various":[86],"techniques":[89],"are":[90],"explored":[91],"preliminary":[94],"processing":[96],"stage":[97],"identify":[99],"anomalies":[102],"trace.":[107],"Subsequent":[108],"phases":[109],"employ":[110],"ensemble-based":[112],"for":[115,149,160],"data-driven":[117],"forecasts.":[118],"By":[119],"conducting":[120],"thorough":[121],"assessments,":[122],"our":[123],"model":[124],"exhibits":[125],"substantial":[126],"improvements":[127],"both":[129],"accuracy":[131],"predictions":[133],"its":[135],"resilience":[136],"inherent":[139],"volatility":[140],"environments.":[143],"Our":[144],"research":[145],"provides":[146],"foundation":[148],"an":[150],"improved":[151],"method":[152],"predicting":[154],"utilization,":[156],"paving":[157],"way":[159],"advancements":[161],"resource":[165],"management.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
