{"id":"https://openalex.org/W4389077618","doi":"https://doi.org/10.23919/cnsm59352.2023.10327894","title":"Predicting the Performance of DNNs to Support Efficient Resource Allocation","display_name":"Predicting the Performance of DNNs to Support Efficient Resource Allocation","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4389077618","doi":"https://doi.org/10.23919/cnsm59352.2023.10327894"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm59352.2023.10327894","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm59352.2023.10327894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Network and Service Management (CNSM)","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/A5049988473","display_name":"Sarah Shah","orcid":"https://orcid.org/0000-0003-0627-7070"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sarah Shah","raw_affiliation_strings":["University of Calgary,Electrical and Software Engineering,Calgary,Canada","Electrical and Software Engineering, University of Calgary, Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"University of Calgary,Electrical and Software Engineering,Calgary,Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Electrical and Software Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086312071","display_name":"Yasaman Amannejad","orcid":"https://orcid.org/0000-0002-5668-6086"},"institutions":[{"id":"https://openalex.org/I870124129","display_name":"Mount Royal University","ror":"https://ror.org/04evsam41","country_code":"CA","type":"education","lineage":["https://openalex.org/I870124129"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yasaman Amannejad","raw_affiliation_strings":["Mount Royal University,Mathematics and Computing,Calgary,Canada","Mathematics and Computing, Mount Royal University, Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"Mount Royal University,Mathematics and Computing,Calgary,Canada","institution_ids":["https://openalex.org/I870124129"]},{"raw_affiliation_string":"Mathematics and Computing, Mount Royal University, Calgary, Canada","institution_ids":["https://openalex.org/I870124129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001117576","display_name":"Diwakar Krishnamurthy","orcid":"https://orcid.org/0000-0002-6098-4801"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Diwakar Krishnamurthy","raw_affiliation_strings":["University of Calgary,Electrical and Software Engineering,Calgary,Canada","Electrical and Software Engineering, University of Calgary, Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"University of Calgary,Electrical and Software Engineering,Calgary,Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Electrical and Software Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049988473"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.4024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63298331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9925000071525574,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9921000003814697,"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/T13553","display_name":"Age of Information Optimization","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8554470539093018},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.7977136373519897},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.770635724067688},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7193059921264648},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5731817483901978},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4935351610183716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47570639848709106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4684491455554962},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4522760510444641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3783043324947357},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36585530638694763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3390349745750427},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09181806445121765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554470539093018},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.7977136373519897},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.770635724067688},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7193059921264648},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5731817483901978},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4935351610183716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47570639848709106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4684491455554962},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4522760510444641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3783043324947357},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36585530638694763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3390349745750427},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09181806445121765},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm59352.2023.10327894","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm59352.2023.10327894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2565099069","https://openalex.org/W2963884515","https://openalex.org/W3009018976","https://openalex.org/W3017746288","https://openalex.org/W3039010666","https://openalex.org/W3043571714","https://openalex.org/W3047371394","https://openalex.org/W3097904259","https://openalex.org/W3118280765","https://openalex.org/W3138037053","https://openalex.org/W3156130593","https://openalex.org/W3198738574","https://openalex.org/W3209210773","https://openalex.org/W4240869904","https://openalex.org/W4312576186","https://openalex.org/W6667320511","https://openalex.org/W6776320331","https://openalex.org/W6779103662","https://openalex.org/W6779124799","https://openalex.org/W6788597507","https://openalex.org/W6793596065"],"related_works":["https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2566006169","https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2987774938","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601"],"abstract_inverted_index":{"Numerous":[0],"organizations":[1,20],"are":[2],"adopting":[3],"sophisticated":[4],"Machine":[5],"Learning":[6],"(ML)":[7],"algorithms":[8],"for":[9,107],"their":[10],"operations.":[11],"To":[12],"ensure":[13],"the":[14,24,36,45,103,117,121,131,169],"optimal":[15,104],"performance":[16,128],"of":[17,27,39,48,79,161,168,181],"ML":[18,40,53],"systems,":[19],"require":[21],"insights":[22],"into":[23],"response":[25,46,77,111,118,164,173],"time":[26,47,112,119,165,170,174],"such":[28],"systems":[29],"under":[30,55,86,120],"realistic":[31],"user":[32,59,92],"workloads.":[33,93],"However,":[34],"despite":[35],"widespread":[37],"adoption":[38],"models,":[41],"research":[42],"on":[43],"predicting":[44],"a":[49,72,96,99,109,177],"system":[50,138],"serving":[51],"an":[52],"model":[54],"varying":[56,88],"resources":[57],"and":[58,91,98,114,155,171],"workloads":[60],"is":[61],"limited.":[62],"In":[63],"this":[64,68],"paper,":[65],"we":[66],"address":[67],"gap":[69],"by":[70],"proposing":[71],"modeling":[73,129],"approach":[74,149],"to":[75,101,115,133,152],"predict":[76,116],"times":[78],"multiple":[80],"well-known":[81],"Deep":[82],"Neural":[83],"Networks":[84],"(DNNs)":[85],"simultaneously":[87],"resource":[89,105,123,154],"settings":[90],"We":[94],"join":[95],"classifier":[97],"regressor":[100],"identify":[102],"setting":[106],"meeting":[108],"DNN's":[110],"target,":[113],"allocated":[122],"setting.":[124],"Our":[125],"technique":[126],"enables":[127],"without":[130],"need":[132],"collect":[134],"extensive":[135],"data":[136],"during":[137],"operation,":[139],"thus":[140],"empowering":[141],"pre-deployment":[142],"predictions.":[143],"The":[144],"results":[145],"demonstrate":[146],"that":[147],"our":[148],"can":[150],"generalize":[151],"unseen":[153],"workload":[156],"scenarios,":[157],"guaranteeing":[158],"accurate":[159],"predictions":[160,175],"compliance":[162],"with":[163,176],"targets":[166],"98.05%":[167],"offering":[172],"mean":[178],"prediction":[179],"error":[180],"9.10%.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}