{"id":"https://openalex.org/W7082632409","doi":"https://doi.org/10.1109/tsc.2025.3612401","title":"TaCo: Tasks Co-Programming for Accelerating Inference in Scaling Edge Computing","display_name":"TaCo: Tasks Co-Programming for Accelerating Inference in Scaling Edge Computing","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W7082632409","doi":"https://doi.org/10.1109/tsc.2025.3612401"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2025.3612401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2025.3612401","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","raw_type":"journal-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":null,"display_name":"Lingzheng Kong","orcid":"https://orcid.org/0000-0003-0155-9271"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingzheng Kong","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0155-9271","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tingting Yang","orcid":"https://orcid.org/0000-0002-7406-2170"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Yang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7406-2170","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nan Li","orcid":"https://orcid.org/0000-0001-9456-8702"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Li","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9456-8702","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kaoru Ota","orcid":"https://orcid.org/0000-0002-3382-1652"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Ota","raw_affiliation_strings":["Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3382-1652","affiliations":[{"raw_affiliation_string":"Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mianxiong Dong","orcid":"https://orcid.org/0000-0002-2788-3451"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mianxiong Dong","raw_affiliation_strings":["Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2788-3451","affiliations":[{"raw_affiliation_string":"Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62638994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"6","first_page":"4208","last_page":"4220"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6629999876022339,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6629999876022339,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13067","display_name":"Geological Modeling and Analysis","score":0.028599999845027924,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.01889999955892563,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.8073999881744385},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5720000267028809},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5250999927520752},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4896000027656555},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4867999851703644},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45820000767707825},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.38749998807907104},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3747999966144562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828000009059906},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8073999881744385},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5720000267028809},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4896000027656555},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4867999851703644},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45820000767707825},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4104999899864197},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3822000026702881},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.3504999876022339},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.3052000105381012},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2025.3612401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2025.3612401","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1642530395","display_name":null,"funder_award_id":"JP24K14910","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G2412868528","display_name":null,"funder_award_id":"JP22K11989","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G2695737787","display_name":null,"funder_award_id":"202206090227","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7560764600","display_name":null,"funder_award_id":"2023A1515011373","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7675968972","display_name":null,"funder_award_id":"JP25K00139","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8426926380","display_name":null,"funder_award_id":"JPMJAP2344","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G89226296","display_name":null,"funder_award_id":"62102409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2604319603","https://openalex.org/W2931743911","https://openalex.org/W2944459779","https://openalex.org/W2980856918","https://openalex.org/W2981114133","https://openalex.org/W3049640275","https://openalex.org/W3111321464","https://openalex.org/W3111499798","https://openalex.org/W3134255974","https://openalex.org/W3134357852","https://openalex.org/W3160036209","https://openalex.org/W3179720829","https://openalex.org/W3210569331","https://openalex.org/W3212941463","https://openalex.org/W4211171425","https://openalex.org/W4214597292","https://openalex.org/W4221150253","https://openalex.org/W4312910656","https://openalex.org/W4324116446","https://openalex.org/W4382623320","https://openalex.org/W4386494564","https://openalex.org/W4386648881","https://openalex.org/W4388624545","https://openalex.org/W4391853590","https://openalex.org/W4394844008"],"related_works":[],"abstract_inverted_index":{"The":[0,12,170],"edge":[1,6,19,28,72,79],"computing":[2],"network":[3,39,88,113,121],"(ECN)":[4],"accelerates":[5],"inference":[7,16,25,73,126,173],"by":[8,74,136],"leveraging":[9,75],"nearby":[10],"resources.":[11],"method":[13],"of":[14,23,150,172,206,209],"coprogramming":[15],"tasks":[17,65],"on":[18,26],"meets":[20],"the":[21,71,86,120,148,151,195,202,207,212],"requirement":[22],"overloaded":[24],"resource-limited":[27],"devices.":[29],"However,":[30],"making":[31],"scheduling":[32,52],"decisions":[33],"in":[34,54,211],"ECN":[35],"and":[36,198],"deep":[37],"neural":[38],"(DNN)":[40],"two":[41],"different":[42],"non-Euclidean":[43],"spaces":[44],"is":[45,93,115,175],"a":[46,61,96,110,137,216],"challenging":[47],"problem":[48,92,102],"owing":[49],"to":[50,68,81,104,117,128,146,163,166,190,221],"extra":[51],"complexity":[53],"dynamic":[55],"scaling":[56],"ECN.":[57],"Here":[58],"we":[59],"propose":[60],"learning-based":[62,168,180],"framework":[63],"namely":[64],"co-programme":[66],"(TaCo),":[67],"cooperatively":[69],"accelerate":[70],"cooperative":[76],"synergy":[77],"among":[78],"devices":[80],"achieve":[82],"latency-efficient":[83],"services.":[84],"Firstly,":[85],"high-complexity":[87],"resource":[89],"arrangement":[90,133],"(NRA)":[91],"transformed":[94],"as":[95,123,125],"tractable":[97],"graph":[98,105,111],"node":[99],"classification":[100],"(GNC)":[101],"according":[103],"optimization":[106],"theory.":[107],"After":[108],"that,":[109],"convolutional":[112],"(GCN)":[114],"elaborated":[116],"jointly":[118],"aggregate":[119],"condition":[122],"well":[124],"workload":[127],"further":[129],"enacts":[130],"an":[131],"intelligent":[132],"scheme.":[134],"Guided":[135],"reinforcement":[138],"learning":[139],"(RL)-based":[140],"advantage":[141],"actor":[142],"critic":[143],"(A2C)":[144],"mechanism":[145],"improve":[147],"performance":[149],"GCN.":[152],"Our":[153],"results":[154],"show":[155],"that":[156],"TaCo":[157,214],"has":[158],"2":[159],"times":[160,177,184,192],"faster":[161],"speed":[162],"converge":[164],"compared":[165,220],"other":[167,222],"solutions.":[169,223],"decrease":[171],"latency":[174],"3":[176],"smaller":[178,185,193],"than":[179,186,194,201],"solutions,":[181,188],"approximately":[182],"10":[183],"traditional":[187],"up":[189],"6":[191],"single-UE":[196],"case,":[197,204],"significantly":[199],"lower":[200],"singleES":[203],"regardless":[205],"number":[208],"nodes":[210],"network.":[213],"achieves":[215],"better":[217],"energy":[218],"efficiency":[219]},"counts_by_year":[],"updated_date":"2025-12-12T23:16:27.785689","created_date":"2025-10-10T00:00:00"}
