{"id":"https://openalex.org/W4391128462","doi":"https://doi.org/10.1109/tmc.2024.3357218","title":"DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference","display_name":"DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391128462","doi":"https://doi.org/10.1109/tmc.2024.3357218"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3357218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3357218","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile 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":"https://openalex.org/A5014588008","display_name":"Ziyang Zhang","orcid":"https://orcid.org/0000-0003-2539-8257"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Zhang","raw_affiliation_strings":["School of Science and Technology, Harbin Institute of Technology, Harbin, China","School of Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2539-8257","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210161462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007442135","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0003-2080-1270"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China","International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-2080-1270","affiliations":[{"raw_affiliation_string":"International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huan Li","orcid":"https://orcid.org/0009-0009-7350-5361"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China","International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0009-7350-5361","affiliations":[{"raw_affiliation_string":"International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065564945","display_name":"Changyao Lin","orcid":"https://orcid.org/0000-0001-6805-2649"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyao Lin","raw_affiliation_strings":["School of Science and Technology, Harbin Institute of Technology, Harbin, China","School of Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0001-6805-2649","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210161462"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454005","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-6209-6886"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China","International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6209-6886","affiliations":[{"raw_affiliation_string":"International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"International Research Institute for Artificial Intelligence, Harbin Institute of Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.9084,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.98143559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"10","first_page":"9042","last_page":"9059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9973000288009644,"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":0.8380174040794373},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7537528276443481},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7112138867378235},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6233381628990173},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6087932586669922},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5672828555107117},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.538553774356842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255117416381836},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.49869370460510254},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46604740619659424},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4475018084049225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41231244802474976},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11427339911460876},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07613107562065125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8380174040794373},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7537528276443481},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7112138867378235},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6233381628990173},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6087932586669922},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5672828555107117},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.538553774356842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255117416381836},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.49869370460510254},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46604740619659424},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4475018084049225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41231244802474976},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11427339911460876},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07613107562065125},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3357218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3357218","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1922655562","https://openalex.org/W1955857676","https://openalex.org/W2002555321","https://openalex.org/W2121863487","https://openalex.org/W2145339207","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2416799949","https://openalex.org/W2526509045","https://openalex.org/W2618530766","https://openalex.org/W2736601468","https://openalex.org/W2746722165","https://openalex.org/W2888896501","https://openalex.org/W2960833983","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2973229164","https://openalex.org/W2990628747","https://openalex.org/W2990747716","https://openalex.org/W3015082424","https://openalex.org/W3035605121","https://openalex.org/W3041133507","https://openalex.org/W3049640275","https://openalex.org/W3088802706","https://openalex.org/W3094094281","https://openalex.org/W3094502228","https://openalex.org/W3102767875","https://openalex.org/W3109233295","https://openalex.org/W3109248695","https://openalex.org/W3113399930","https://openalex.org/W3118608800","https://openalex.org/W3144271226","https://openalex.org/W3147954149","https://openalex.org/W3174119208","https://openalex.org/W3178438399","https://openalex.org/W3202663365","https://openalex.org/W3213941755","https://openalex.org/W4205905517","https://openalex.org/W4206943884","https://openalex.org/W4213436958","https://openalex.org/W4213454978","https://openalex.org/W4221028123","https://openalex.org/W4283157527","https://openalex.org/W4285261368","https://openalex.org/W4285263159","https://openalex.org/W4289752563","https://openalex.org/W4296425744","https://openalex.org/W4306178486","https://openalex.org/W4312402191","https://openalex.org/W4319163914","https://openalex.org/W4320060064","https://openalex.org/W4360831858","https://openalex.org/W4372271902","https://openalex.org/W4377971462","https://openalex.org/W4382467688","https://openalex.org/W4383704293","https://openalex.org/W4385679786","https://openalex.org/W4387560490","https://openalex.org/W6638018090","https://openalex.org/W6640090968","https://openalex.org/W6741002519","https://openalex.org/W6747473740","https://openalex.org/W6762718338","https://openalex.org/W6771666257","https://openalex.org/W6784333009","https://openalex.org/W6787972765","https://openalex.org/W6794265893","https://openalex.org/W6810694551","https://openalex.org/W6842315983","https://openalex.org/W6857414025"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Due":[0],"to":[1,20,35,119,132,185,192],"limited":[2],"resources":[3,63],"on":[4,64,167,182,203],"edge":[5,65,101,170],"and":[6,30,81,97,103,125,162],"different":[7,149],"characteristics":[8],"of":[9,27,100],"deep":[10,85],"neural":[11],"network":[12,155],"(DNN)":[13],"models,":[14],"it":[15,111],"is":[16],"a":[17,45,71,113,126],"big":[18],"challenge":[19],"optimize":[21],"DNN":[22,50,137,150,165],"inference":[23,56,76,146],"performance":[24,147],"in":[25],"terms":[26],"energy":[28,178],"consumption":[29,179],"end-to-end":[31,194],"latency.":[32],"In":[33,109],"addition":[34],"dynamic":[36],"voltage":[37],"frequency":[38],"scaling":[39],"(DVFS)":[40],"technique,":[41],"edge-cloud":[42,54,74,154],"architecture":[43],"provides":[44],"collaborative":[46,55,75],"approach":[47,144],"for":[48,140,148],"efficient":[49,141],"inference.":[51],"However,":[52],"current":[53],"methods":[57],"have":[58],"not":[59],"optimized":[60],"various":[61,153],"compute":[62],"devices.":[66],"Thus,":[67],"we":[68],"propose":[69],"DVFO,":[70],"novel":[72],"DVFS-enabled":[73],"framework,":[77],"which":[78],"co-optimizes":[79,92],"DVFS":[80],"offloading":[82],"parameters":[83],"via":[84],"reinforcement":[86],"learning":[87,123],"(DRL).":[88],"Specifically,":[89],"DVFO":[90,174,189],"automatically":[91],"1)":[93],"the":[94,105,121,134,177],"CPU,":[95],"GPU":[96],"memory":[98],"frequencies":[99],"devices,":[102],"2)":[104],"offloaded":[106],"feature":[107,138],"map.":[108],"addition,":[110],"leverages":[112],"<italic":[114,127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[115,128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">thinking-while-moving</i>":[116],"concurrent":[117],"mechanism":[118,131],"accelerate":[120],"DRL":[122],"process,":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">spatial-channel":[129],"attention</i>":[130],"identify":[133],"less":[135],"important":[136],"map":[139],"offloading.":[142],"This":[143],"improves":[145],"models":[151,166],"under":[152],"conditions.":[156],"Extensive":[157],"evaluations":[158],"using":[159],"two":[160],"datasets":[161],"six":[163],"widely-deployed":[164],"five":[168],"heterogeneous":[169],"devices":[171],"show":[172],"that":[173],"significantly":[175],"reduces":[176],"by":[180],"33%":[181],"average,":[183],"compared":[184],"state-of-the-art":[186],"schemes.":[187],"Moreover,":[188],"achieves":[190],"up":[191],"28.6%\u223c59.1%":[193],"latency":[195],"reduction,":[196],"while":[197],"maintaining":[198],"accuracy":[199],"within":[200],"1%":[201],"loss":[202],"average.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
