{"id":"https://openalex.org/W4214822034","doi":"https://doi.org/10.1109/tcc.2022.3154117","title":"Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud","display_name":"Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W4214822034","doi":"https://doi.org/10.1109/tcc.2022.3154117"},"language":"en","primary_location":{"id":"doi:10.1109/tcc.2022.3154117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2022.3154117","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.12728","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013723403","display_name":"Ying Mao","orcid":"https://orcid.org/0000-0002-4484-4892"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Mao","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, Bronx, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4484-4892","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077246017","display_name":"Weifeng Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weifeng Yan","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, Bronx, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050837693","display_name":"Yun S. Song","orcid":"https://orcid.org/0000-0002-0734-9868"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Song","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, Bronx, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016449315","display_name":"Yue Zeng","orcid":"https://orcid.org/0000-0002-5553-5534"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Zeng","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, Bronx, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640682","display_name":"Ming Chen","orcid":"https://orcid.org/0000-0001-5935-7694"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Chen","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, Bronx, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, Bronx, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073321754","display_name":"Long Cheng","orcid":"https://orcid.org/0000-0003-1638-059X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Cheng","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1638-059X","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006107034","display_name":"Qingzhi Liu","orcid":"https://orcid.org/0000-0003-2621-9222"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Qingzhi Liu","raw_affiliation_strings":["Information Technology Group, Wageningen University and Research, Wageningen, PB, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-2621-9222","affiliations":[{"raw_affiliation_string":"Information Technology Group, Wageningen University and Research, Wageningen, PB, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7094,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90145696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"1667","last_page":"1677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9991000294685364,"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":0.9991000294685364,"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":0.998199999332428,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.996399998664856,"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":0.8853251338005066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8302047252655029},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.6816344857215881},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5486087799072266},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5454905033111572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5112662315368652},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4823583960533142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3254604935646057},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.27970457077026367},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.24117600917816162},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21546003222465515}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8853251338005066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302047252655029},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.6816344857215881},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5486087799072266},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5454905033111572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5112662315368652},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4823583960533142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3254604935646057},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.27970457077026367},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.24117600917816162},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21546003222465515},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcc.2022.3154117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2022.3154117","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2010.12728","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.12728","pdf_url":"https://arxiv.org/pdf/2010.12728","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:library.wur.nl:wurpubs/595530","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/differentiate-quality-of-experience-scheduling-for-deep-learning-","pdf_url":"https://edepot.wur.nl/566679","source":{"id":"https://openalex.org/S4210201231","display_name":"Socio-Environmental Systems Modeling","issn_l":"2663-3027","issn":["2663-3027"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 2168-7161","raw_type":"Article/Letter to editor"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.12728","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.12728","pdf_url":"https://arxiv.org/pdf/2010.12728","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1657185548","https://openalex.org/W2149939304","https://openalex.org/W2607255160","https://openalex.org/W2626685773","https://openalex.org/W2798515322","https://openalex.org/W2945146780","https://openalex.org/W2949469598","https://openalex.org/W2962843773","https://openalex.org/W2963149401","https://openalex.org/W2963330479","https://openalex.org/W2963505890","https://openalex.org/W2990062730","https://openalex.org/W3004303566","https://openalex.org/W3007154432","https://openalex.org/W3035160371","https://openalex.org/W3043686677","https://openalex.org/W3047132966","https://openalex.org/W3068073655","https://openalex.org/W3081586874","https://openalex.org/W3092875304","https://openalex.org/W3093580137","https://openalex.org/W3095604093","https://openalex.org/W3097904259","https://openalex.org/W3111321464","https://openalex.org/W3117513126","https://openalex.org/W3125697162","https://openalex.org/W3156987284","https://openalex.org/W3179122174","https://openalex.org/W3195905284","https://openalex.org/W3208777667","https://openalex.org/W3210776666","https://openalex.org/W4206898858","https://openalex.org/W4214634256","https://openalex.org/W4237938816","https://openalex.org/W4253698222","https://openalex.org/W6636819530","https://openalex.org/W6770592442","https://openalex.org/W6779103662","https://openalex.org/W6781160885","https://openalex.org/W6781911003","https://openalex.org/W6798686915"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"With":[0],"the":[1,21,41,73,84,101,178,210],"prevalence":[2],"of":[3,44,58,75,88,104,111,153],"big-data-driven":[4],"applications,":[5],"such":[6],"as":[7],"face":[8],"recognition":[9],"on":[10,20,96,108,166],"smartphones":[11],"and":[12,64,86,100,169,198],"tailored":[13],"recommendations":[14],"from":[15],"Google":[16],"Ads,":[17],"we":[18,145],"are":[19,38],"road":[22],"to":[23,47,51,82,134,139,173,195,201,209],"a":[24,136],"lifestyle":[25],"with":[26,193],"significantly":[27],"more":[28,204],"intelligence":[29,46],"than":[30],"ever":[31],"before.":[32],"Various":[33],"neural":[34],"network":[35],"powered":[36],"models":[37,55,206],"running":[39],"at":[40],"back":[42],"end":[43],"their":[45,70,140,175],"enable":[48],"quick":[49],"responses":[50],"users.":[52],"Supporting":[53],"those":[54],"requires":[56,119],"lots":[57],"cloud-based":[59,180],"computational":[60],"resources,":[61],"e.g.,":[62],"CPUs":[63],"GPUs.":[65],"The":[66,93],"cloud":[67,131],"providers":[68,132],"charge":[69],"clients":[71],"by":[72],"amount":[74],"resources":[76,172],"that":[77,186],"they":[78],"occupy.":[79],"Clients":[80],"have":[81],"balance":[83],"budget":[85,94],"quality":[87,152],"experiences":[89],"(e.g.,":[90],"response":[91],"time).":[92],"leans":[95],"individual":[97],"business":[98],"owners,":[99],"required":[102],"Quality":[103],"Experience":[105],"(QoE)":[106],"depends":[107],"usage":[109],"scenarios":[110],"different":[112],"applications.":[113],"For":[114],"instance,":[115],"an":[116,120],"autonomous":[117],"vehicle":[118],"real-time":[121],"response,":[122],"but":[123],"unlocking":[124],"your":[125],"smartphone":[126],"can":[127,188],"tolerate":[128],"delays.":[129],"However,":[130],"fail":[133],"offer":[135],"QoE-based":[137],"option":[138],"clients.":[141],"In":[142],"this":[143],"paper,":[144],"propose":[146],"<monospace":[147,160,182],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[148,161,183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DQoES</monospace>":[149,162,184],",":[150],"differentiated":[151],"experience":[154],"scheduler":[155],"for":[156],"deep":[157],"learning":[158],"inferences.":[159],"accepts":[163],"clients\u2019":[164],"specifications":[165],"targeted":[167],"QoEs,":[168],"dynamically":[170],"adjusts":[171],"approach":[174],"targets.":[176],"Through":[177],"extensive":[179],"experiments,":[181],"demonstrates":[185],"it":[187],"schedule":[189],"multiple":[190],"concurrent":[191],"jobs":[192],"respect":[194],"various":[196],"QoEs":[197],"achieve":[199],"up":[200],"8x":[202],"times":[203],"satisfied":[205],"when":[207],"compared":[208],"existing":[211],"system.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
