{"id":"https://openalex.org/W4389544459","doi":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333623","title":"End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference","display_name":"End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4389544459","doi":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333623"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-fall60731.2023.10333623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","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/A5066355648","display_name":"Xinrui Ye","orcid":"https://orcid.org/0009-0005-1448-8195"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinrui Ye","raw_affiliation_strings":["Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012106928","display_name":"Yanzan Sun","orcid":"https://orcid.org/0000-0003-3131-1760"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzan Sun","raw_affiliation_strings":["Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087111627","display_name":"Dingzhu Wen","orcid":"https://orcid.org/0000-0003-0538-5811"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingzhu Wen","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China,200031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China,200031","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101277711","display_name":"Guanjin Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanjin Pan","raw_affiliation_strings":["Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019052479","display_name":"Shunqing Zhang","orcid":"https://orcid.org/0000-0002-5156-9235"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunqing Zhang","raw_affiliation_strings":["Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai,China,200444","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0862,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88174051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"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/T13553","display_name":"Age of Information Optimization","score":0.9995999932289124,"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/T13553","display_name":"Age of Information Optimization","score":0.9995999932289124,"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/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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8374758958816528},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.693683922290802},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6645103096961975},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6223398447036743},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5456576347351074},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5383096933364868},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5256054401397705},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48545318841934204},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4617481529712677},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.43433383107185364},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40627041459083557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3748836815357208},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25269225239753723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2003965675830841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8374758958816528},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.693683922290802},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6645103096961975},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6223398447036743},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5456576347351074},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5383096933364868},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5256054401397705},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48545318841934204},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4617481529712677},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.43433383107185364},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40627041459083557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3748836815357208},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25269225239753723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2003965675830841},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C37935115","wikidata":"https://www.wikidata.org/wiki/Q6707085","display_name":"Lyapunov redesign","level":4,"score":0.0},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-fall60731.2023.10333623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","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":18,"referenced_works":["https://openalex.org/W2077352129","https://openalex.org/W2137152139","https://openalex.org/W2178935672","https://openalex.org/W2604319603","https://openalex.org/W2736601468","https://openalex.org/W2980856918","https://openalex.org/W2996741864","https://openalex.org/W3011134162","https://openalex.org/W3044591330","https://openalex.org/W3059280052","https://openalex.org/W3094144275","https://openalex.org/W3110989801","https://openalex.org/W3212941463","https://openalex.org/W4236099117","https://openalex.org/W4285257856","https://openalex.org/W4315631133","https://openalex.org/W4328030459","https://openalex.org/W6741002519"],"related_works":["https://openalex.org/W2944535814","https://openalex.org/W4320029583","https://openalex.org/W4284671922","https://openalex.org/W4311866176","https://openalex.org/W2897042868","https://openalex.org/W3139051647","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W4206585306","https://openalex.org/W2907086092"],"abstract_inverted_index":{"Cooperative":[0],"inference":[1,74],"in":[2,63],"Mobile":[3],"Edge":[4],"Computing":[5],"(MEC),":[6],"achieved":[7],"by":[8],"deploying":[9],"partitioned":[10],"Deep":[11,117],"Neural":[12],"Network":[13],"(DNN)":[14],"models":[15],"between":[16],"resource-constrained":[17],"user":[18],"equipments":[19],"(UEs)":[20],"and":[21,49,90,121,132],"edge":[22,65],"servers":[23],"(ESs),":[24],"has":[25],"emerged":[26],"as":[27],"a":[28,51,78,101],"promising":[29],"paradigm.":[30],"Firstly,":[31],"we":[32,76,99],"consider":[33],"scenarios":[34],"of":[35,59,73,129],"continuous":[36],"Artificial":[37],"Intelligence":[38],"(AI)":[39],"task":[40],"arrivals,":[41],"like":[42],"the":[43,56,70,109],"object":[44],"detection":[45],"for":[46,55,126],"video":[47],"streams,":[48],"utilize":[50],"serial":[52],"queuing":[53],"model":[54,88],"accurate":[57],"evaluation":[58],"End-to-End":[60],"(E2E)":[61],"delay":[62,82,145],"cooperative":[64],"inference.":[66],"Secondly,":[67],"to":[68,95],"enhance":[69],"long-term":[71,148],"performance":[72],"systems,":[75],"formulate":[77],"multi-slot":[79],"stochastic":[80],"E2E":[81,144],"optimization":[83,123,128],"problem":[84,111],"that":[85,107,139],"jointly":[86],"considers":[87],"partitioning":[89,130],"multi-dimensional":[91],"resource":[92,134,149],"allocation.":[93,135],"Finally,":[94],"solve":[96],"this":[97],"problem,":[98],"introduce":[100],"Lyapunov-guided":[102],"Multi-Dimensional":[103],"Optimization":[104],"algorithm":[105],"(LyMDO)":[106],"decouples":[108],"original":[110],"into":[112],"per-slot":[113],"deterministic":[114],"problems,":[115],"where":[116],"Reinforcement":[118],"Learning":[119],"(DRL)":[120],"convex":[122],"are":[124],"used":[125],"joint":[127],"decisions":[131],"complementary":[133],"Simulation":[136],"results":[137],"show":[138],"our":[140],"approach":[141],"effectively":[142],"improves":[143],"while":[146],"balancing":[147],"constraints.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}