{"id":"https://openalex.org/W2976382054","doi":"https://doi.org/10.1109/infcomw.2019.8845240","title":"DeePar: A Hybrid Device-Edge-Cloud Execution Framework for Mobile Deep Learning Applications","display_name":"DeePar: A Hybrid Device-Edge-Cloud Execution Framework for Mobile Deep Learning Applications","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2976382054","doi":"https://doi.org/10.1109/infcomw.2019.8845240","mag":"2976382054"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2019.8845240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM 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/A5029984357","display_name":"Yutao Huang","orcid":"https://orcid.org/0000-0003-3707-8971"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yutao Huang","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431183","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0002-0461-6940"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]},{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Canada","The University of Mississippi, USA","Department of Computer and Information Science, The University of Mississippi, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"The University of Mississippi, USA","institution_ids":["https://openalex.org/I368840534"]},{"raw_affiliation_string":"Department of Computer and Information Science, The University of Mississippi, USA","institution_ids":["https://openalex.org/I368840534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686970","display_name":"Fangxin Wang","orcid":"https://orcid.org/0000-0003-2559-045X"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]},{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Fangxin Wang","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Canada","The University of Mississippi, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"The University of Mississippi, USA","institution_ids":["https://openalex.org/I368840534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039311485","display_name":"Jiangchuan Liu","orcid":"https://orcid.org/0000-0001-6592-1984"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiangchuan Liu","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029984357"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":4.0679,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94572064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"892","last_page":"897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T13553","display_name":"Age of Information Optimization","score":0.9950000047683716,"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":0.8838191032409668},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7797666788101196},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6591343879699707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6414960622787476},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6103826761245728},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5794371366500854},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5564616918563843},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5442228317260742},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5273980498313904},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5230259299278259},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5147724151611328},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.4306766986846924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32273462414741516},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.23175853490829468},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11883273720741272},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07407441735267639}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8838191032409668},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7797666788101196},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6591343879699707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6414960622787476},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6103826761245728},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5794371366500854},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5564616918563843},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5442228317260742},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5273980498313904},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5230259299278259},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5147724151611328},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.4306766986846924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32273462414741516},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.23175853490829468},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11883273720741272},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07407441735267639},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcomw.2019.8845240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":12,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2153579005","https://openalex.org/W2163605009","https://openalex.org/W2325939864","https://openalex.org/W2605258629","https://openalex.org/W2618530766","https://openalex.org/W2624989916","https://openalex.org/W2786070938","https://openalex.org/W2962684017","https://openalex.org/W4294170691","https://openalex.org/W6682691769","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W2917127270","https://openalex.org/W3185499500","https://openalex.org/W3014317926"],"abstract_inverted_index":{"With":[0],"the":[1,29,38,46,53,56,63,70,73,95,120,126,128,131,137,150,154,156,160,165,175],"deep":[2,11,23,88,115],"penetration":[3],"of":[4,72],"mobile":[5,10,34,49,87],"devices,":[6],"more":[7,9,123],"and":[8,51,130,159,178,187],"learning":[12,24,89],"applications":[13],"have":[14],"been":[15],"widely":[16],"used":[17],"in":[18],"daily":[19],"life.":[20],"However,":[21],"since":[22],"tasks":[25],"are":[26,44],"computationally":[27],"intensive,":[28],"limited":[30],"computation":[31,54,121],"resource":[32],"on":[33],"devices":[35,50],"cannot":[36],"execute":[37],"application":[39],"effectively.":[40],"The":[41],"common":[42],"approaches":[43],"transmitting":[45],"data":[47,65],"from":[48,153],"offloading":[52],"to":[55,118,162,196],"cloud.":[57],"This":[58],"brings":[59],"another":[60],"issue":[61],"that":[62,107,191],"high":[64],"transmission":[66],"delay":[67,97,198],"may":[68],"become":[69],"bottleneck":[71],"performance.":[74,167],"In":[75],"this":[76,103],"paper,":[77],"we":[78,105],"explore":[79],"a":[80,110,143,171],"new":[81],"rising":[82],"concept,":[83],"edge":[84,129,157],"computing,":[85,94],"into":[86],"applications.":[90],"Comparing":[91],"with":[92],"cloud":[93,161],"communication":[96],"can":[98,134,193],"be":[99],"significantly":[100],"reduced.":[101],"To":[102],"end,":[104],"note":[106],"there":[108],"exists":[109],"layer-level":[111],"partitioning":[112],"strategy":[113],"for":[114,174],"neural":[116],"networks":[117],"distribute":[119],"loads":[122],"smoothly":[124],"among":[125],"device,":[127,155],"cloud,":[132],"which":[133,147],"further":[135],"reduce":[136],"overall":[138],"execution":[139,177],"delay.":[140],"We":[141,168],"propose":[142,179],"framework":[144],"called":[145],"DeePar":[146,192],"exploits":[148],"all":[149],"available":[151],"resources":[152],"server,":[158],"collaboratively":[163],"optimize":[164],"inference":[166],"also":[169],"formulate":[170],"scheduling":[172],"problem":[173],"multi-task":[176],"an":[180],"efficient":[181],"solution.":[182],"Both":[183],"our":[184],"prototype":[185],"experiments":[186],"extensive":[188],"simulations":[189],"show":[190],"achieve":[194],"up":[195],"80%":[197],"reduction.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
