{"id":"https://openalex.org/W4386260455","doi":"https://doi.org/10.1109/infocomwkshps57453.2023.10225964","title":"Ensemble Learning for Predicting Task Connectivity Over Time in Cloud Data Centers","display_name":"Ensemble Learning for Predicting Task Connectivity Over Time in Cloud Data Centers","publication_year":2023,"publication_date":"2023-05-20","ids":{"openalex":"https://openalex.org/W4386260455","doi":"https://doi.org/10.1109/infocomwkshps57453.2023.10225964"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps57453.2023.10225964","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps57453.2023.10225964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"conference-paper","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":false,"raw_author_name":"Mustafa Daraghmeh","raw_affiliation_strings":["Electrical and Computer Engineering Concordia University,Montreal,Canada","Electrical and Computer Engineering Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electrical and Computer Engineering Concordia University, 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":["Electrical and Computer Engineering Concordia University,Montreal,Canada","Electrical and Computer Engineering Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electrical and Computer Engineering Concordia University, 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","Computer Science, Jordan University of Science and Technology, Irbid, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology,Computer Science,Irbid,Jordan","institution_ids":["https://openalex.org/I156983542"]},{"raw_affiliation_string":"Computer Science, Jordan University of Science and Technology, Irbid, Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9927999973297119,"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":0.7788673639297485},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6387107372283936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5225921869277954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49640733003616333},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4811305105686188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46307173371315},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4214818477630615},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4105679392814636},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10765796899795532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788673639297485},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6387107372283936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5225921869277954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49640733003616333},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4811305105686188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46307173371315},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4214818477630615},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4105679392814636},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10765796899795532},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps57453.2023.10225964","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps57453.2023.10225964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1570893760","https://openalex.org/W1961147827","https://openalex.org/W1971471618","https://openalex.org/W2081028405","https://openalex.org/W2575635164","https://openalex.org/W2764100055","https://openalex.org/W2789758093","https://openalex.org/W2880511493","https://openalex.org/W2888728157","https://openalex.org/W2921098068","https://openalex.org/W2970602317","https://openalex.org/W3025035827","https://openalex.org/W6634167174","https://openalex.org/W6641082943"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W4375951447"],"abstract_inverted_index":{"The":[0,93,135,170,194],"rapid":[1],"growth":[2],"and":[3,8,31,50,64,89,103,119,130,183,190],"interdependencies":[4],"of":[5,149,213],"cloud-hosted":[6],"services":[7,41],"applications":[9],"have":[10],"made":[11],"it":[12],"imperative":[13],"to":[14,38,128,142,159],"optimize":[15],"data":[16,69,107,127,225],"center":[17],"resource":[18,26,65],"management":[19,66],"while":[20],"maintaining":[21],"low":[22],"operating":[23,32],"costs.":[24],"Inefficient":[25],"use,":[27],"rising":[28],"energy":[29],"consumption,":[30],"costs":[33],"impact":[34],"cloud":[35,68,224],"provider's":[36],"ability":[37],"provide":[39],"high-quality":[40],"on":[42,54,86],"an":[43,144,214],"elastic":[44],"basis.":[45],"However,":[46],"changing":[47],"the":[48,56,104,124,132,150,186,198,202,210],"selection":[49],"decision-making":[51],"processes":[52],"based":[53,85],"how":[55,161],"tasks":[57],"are":[58,97,117,139,173],"set":[59],"up":[60],"can":[61],"improve":[62],"scheduling":[63],"in":[67,121,157,205,222],"centers.":[70,226],"In":[71],"this":[72],"paper,":[73],"we":[74],"develop":[75],"a":[76,100,111,152],"multivariate":[77],"time":[78],"series":[79],"prediction":[80],"model":[81,137,171,200],"for":[82,218],"task":[83,105,125,166,219],"connectivity":[84,167,220],"windowing":[87],"characterization":[88],"ensemble":[90,163,215],"learning":[91,164,216],"methods.":[92],"high":[94],"cardinality":[95],"features":[96,116],"handled":[98],"using":[99,110,175],"counter":[101],"encoder,":[102],"trace":[106],"is":[108,155],"transformed":[109],"sliding":[112],"window,":[113],"from":[114],"which":[115],"extracted":[118],"used":[120,141],"conjunction":[122],"with":[123],"profile":[126],"train":[129],"tune":[131],"candidate":[133],"estimators.":[134],"best":[136],"outcomes":[138,172],"then":[140],"construct":[143],"ensembled":[145],"estimator.":[146],"As":[147],"part":[148],"evaluation,":[151],"baseline":[153],"comparison":[154],"performed":[156],"order":[158],"determine":[160],"well":[162],"predicts":[165],"over":[168],"time.":[169],"assisted":[174],"standard":[176],"classification":[177],"metrics":[178],"such":[179],"as":[180],"accuracy,":[181],"precision,":[182],"recall,":[184],"including":[185],"F1":[187],"score,":[188],"Kappa,":[189],"Matthews":[191],"correlation":[192],"coefficient.":[193],"results":[195],"show":[196],"that":[197],"proposed":[199],"outperformed":[201],"traditional":[203],"models":[204],"most":[206],"performance":[207],"metrics,":[208],"indicating":[209],"successful":[211],"implementation":[212],"approach":[217],"predictions":[221],"large-scale":[223]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
