{"id":"https://openalex.org/W3135061476","doi":"https://doi.org/10.1109/gcwkshps50303.2020.9367470","title":"Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services","display_name":"Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3135061476","doi":"https://doi.org/10.1109/gcwkshps50303.2020.9367470","mag":"3135061476"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps50303.2020.9367470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","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/A5006177109","display_name":"Xiaobo Zhao","orcid":"https://orcid.org/0000-0003-0531-8037"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Xiaobo Zhao","raw_affiliation_strings":["Department of Engineering, DIGIT, Aarhus University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, DIGIT, Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035580559","display_name":"Minoo Hosseinzadeh","orcid":"https://orcid.org/0000-0001-9758-9744"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minoo Hosseinzadeh","raw_affiliation_strings":["Department of Computer Science, University of Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008463289","display_name":"Nathaniel Hudson","orcid":"https://orcid.org/0000-0001-7474-2689"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel Hudson","raw_affiliation_strings":["Department of Computer Science, University of Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080827772","display_name":"Hana Khamfroush","orcid":"https://orcid.org/0000-0002-4859-814X"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hana Khamfroush","raw_affiliation_strings":["Department of Computer Science, University of Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110828662","display_name":"Daniel E. Lucani","orcid":"https://orcid.org/0000-0001-5325-8863"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Daniel E. Lucani","raw_affiliation_strings":["Department of Engineering, DIGIT, Aarhus University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, DIGIT, Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69958665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.825029730796814},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8148183822631836},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6901921629905701},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4906836748123169},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4769552946090698},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.474868506193161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44198134541511536},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.425203800201416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1566615104675293},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08636152744293213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825029730796814},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8148183822631836},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6901921629905701},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4906836748123169},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4769552946090698},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.474868506193161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44198134541511536},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.425203800201416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1566615104675293},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08636152744293213},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/gcwkshps50303.2020.9367470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/abf6fb2e-a49a-49ee-9123-951ce40e70b8","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/abf6fb2e-a49a-49ee-9123-951ce40e70b8","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhao, X, Hosseinzadeh, M, Hudson, N, Khamfroush, H & Lucani R\u00f6tter, D E 2020, Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. in 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings., 367470, IEEE, 2020 IEEE Globecom Workshops, GC Wkshps 2020, Virtual, Taipei, Taiwan, 07/12/2020. https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320321446","display_name":"Aarhus Universitets Forskningsfond","ror":"https://ror.org/01aj84f44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1904504745","https://openalex.org/W1977993134","https://openalex.org/W2031614119","https://openalex.org/W2097117768","https://openalex.org/W2105658590","https://openalex.org/W2117539524","https://openalex.org/W2140196014","https://openalex.org/W2155904486","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2594560857","https://openalex.org/W2751904527","https://openalex.org/W2783495847","https://openalex.org/W2891364477","https://openalex.org/W2893813411","https://openalex.org/W2919603306","https://openalex.org/W3013051018","https://openalex.org/W3106445841","https://openalex.org/W3136492254","https://openalex.org/W6695314431","https://openalex.org/W6754427640"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Offloading":[0],"tasks":[1,18],"to":[2,11,41,51,78,85,97,127,154,174],"the":[3,6,9,33,39,42,60,63,79,87,90,95,102,109,147,156,162,165,168,175,179],"edge":[4],"or":[5,73],"Cloud":[7],"has":[8],"potential":[10],"improve":[12],"accuracy":[13,56,157,207],"of":[14,62,101,111,158,164,167],"classification":[15],"and":[16,23,57,138,187],"detection":[17],"as":[19,203,205],"more":[20],"powerful":[21],"hardware":[22],"machine":[24],"learning":[25],"models":[26,134],"can":[27],"be":[28],"used.":[29],"The":[30],"downside":[31],"is":[32,48,84,171,195],"added":[34],"delay":[35],"introduced":[36],"for":[37,105],"sending":[38],"data":[40,77,104,140,166],"Edge/Cloud.":[43],"In":[44],"delay-sensitive":[45],"applications,":[46],"it":[47],"usually":[49],"necessary":[50],"strike":[52],"a":[53,99,151,159,190],"balance":[54],"between":[55],"latency.":[58],"However,":[59],"state":[61],"art":[64],"typically":[65],"considers":[66],"offloading":[67,180],"all-or-nothing":[68],"decisions,":[69],"e.g.,":[70],"process":[71,182],"locally":[72],"send":[74,98],"all":[75],"available":[76],"Edge":[80],"(Cloud).":[81],"Our":[82],"goal":[83],"expand":[86],"options":[88],"in":[89,123,125],"accuracy-latency":[91,193],"trade-off":[92],"by":[93],"allowing":[94],"source":[96],"fraction":[100,163],"total":[103],"processing.":[106],"We":[107,177],"evaluate":[108],"performance":[110],"image":[112,169],"classifiers":[113],"when":[114],"faced":[115],"with":[116],"images":[117],"that":[118,146,170,189],"have":[119],"been":[120],"purposely":[121],"reduced":[122],"quality":[124],"order":[126],"reduce":[128],"traffic":[129,198],"costs.":[130],"Using":[131],"three":[132],"common":[133],"(SqueezeNet,":[135],"GoogleNet,":[136],"ResNet)":[137],"two":[139],"sets":[141],"(Caltech101,":[142],"ImageNet)":[143],"we":[144],"show":[145,188],"Gompertz":[148],"function":[149],"provides":[150],"good":[152],"approximation":[153],"determine":[155],"model":[160],"given":[161],"actually":[172],"conveyed":[173],"model.":[176],"formulate":[178],"decision":[181],"using":[183],"this":[184],"new":[185],"flexibility":[186],"better":[191],"overall":[192],"tradeoff":[194],"attained:":[196],"58%":[197],"reduction,":[199,202],"25%":[200],"latency":[201],"well":[204],"12%":[206],"improvement.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}