{"id":"https://openalex.org/W4414538791","doi":"https://doi.org/10.1109/icc52391.2025.11161748","title":"Joint Optimization of Offloading, Batching and DVFS for Multiuser Co-Inference","display_name":"Joint Optimization of Offloading, Batching and DVFS for Multiuser Co-Inference","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538791","doi":"https://doi.org/10.1109/icc52391.2025.11161748"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5102570623","display_name":"Yaodan Xu","orcid":"https://orcid.org/0000-0003-4372-3404"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaodan Xu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,P.R. China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,P.R. China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021120517","display_name":"Sheng Zhou","orcid":"https://orcid.org/0000-0003-0651-0071"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhou","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,P.R. China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,P.R. China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034505506","display_name":"Zhisheng Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Niu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,P.R. China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,P.R. China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102570623"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24753686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1518","last_page":"1523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12079","display_name":"IoT Networks and Protocols","score":0.9634000062942505,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9580000042915344,"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/energy-consumption","display_name":"Energy consumption","score":0.7031999826431274},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.670799970626831},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6424999833106995},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5353999733924866},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5231999754905701},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5055999755859375},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4740999937057495},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4713999927043915},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.40380001068115234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284000158309937},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7031999826431274},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.670799970626831},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6424999833106995},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5266000032424927},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5231999754905701},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5130000114440918},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4740999937057495},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.40380001068115234},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.34619998931884766},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32710000872612},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3075000047683716},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7423065200","display_name":null,"funder_award_id":"62341108","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1767401999","https://openalex.org/W2920031528","https://openalex.org/W2963163009","https://openalex.org/W2963884515","https://openalex.org/W3044591330","https://openalex.org/W3109847748","https://openalex.org/W3110962653","https://openalex.org/W3130689885","https://openalex.org/W3158444059","https://openalex.org/W3187813993","https://openalex.org/W4206943884","https://openalex.org/W4282934545","https://openalex.org/W4320005538","https://openalex.org/W4387010598","https://openalex.org/W4387870549","https://openalex.org/W4389166677","https://openalex.org/W4391128462","https://openalex.org/W4399205883","https://openalex.org/W4406094130"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,110,140],"growing":[2],"integration":[3],"of":[4,13,112,139],"artificial":[5],"intelligence":[6],"in":[7],"mobile":[8,24,64],"applications,":[9],"a":[10,60,75,124],"substantial":[11],"number":[12],"deep":[14],"neural":[15],"network":[16],"(DNN)":[17],"inference":[18,67,87],"requests":[19,28],"are":[20,89],"generated":[21],"daily":[22],"by":[23,163],"devices.":[25],"Serving":[26],"these":[27,52],"presents":[29],"significant":[30],"challenges":[31],"due":[32],"to":[33,50,69,100,133,165,177],"limited":[34],"device":[35],"resources":[36],"and":[37,85,103,129,152,167,172],"strict":[38],"latency":[39,120],"requirements.":[40],"Therefore,":[41],"edge-device":[42],"co-inference":[43],"has":[44],"emerged":[45],"as":[46],"an":[47,70],"effective":[48],"paradigm":[49],"address":[51],"issues.":[53],"In":[54],"this":[55,135],"study,":[56],"we":[57],"focus":[58],"on":[59],"scenario":[61],"where":[62],"multiple":[63],"devices":[65],"offload":[66],"tasks":[68,88],"edge":[71],"server":[72],"equipped":[73],"with":[74],"graphics":[76],"processing":[77,97],"unit":[78],"(GPU).":[79],"For":[80],"finer":[81],"control":[82],"over":[83],"offloading":[84],"scheduling,":[86],"partitioned":[90],"into":[91],"smaller":[92],"sub-tasks.":[93],"Additionally,":[94],"GPU":[95],"batch":[96],"is":[98,143],"employed":[99],"boost":[101],"throughput":[102],"improve":[104],"energy":[105,115,161],"efficiency.":[106],"This":[107],"work":[108],"investigates":[109],"problem":[111],"minimizing":[113],"total":[114],"consumption":[116,162],"while":[117],"meeting":[118],"hard":[119],"constraints.":[121,154],"We":[122],"propose":[123],"low-complexity":[125],"Joint":[126],"DVFS,":[127],"Offloading,":[128],"Batching":[130],"strategy":[131],"(J-DOB)":[132],"solve":[134],"problem.":[136],"The":[137],"effectiveness":[138],"proposed":[141],"algorithm":[142],"validated":[144],"through":[145],"extensive":[146],"experiments":[147],"across":[148],"varying":[149],"user":[150],"numbers":[151],"deadline":[153],"Results":[155],"show":[156],"that":[157],"J-DOB":[158],"can":[159],"reduce":[160],"up":[164],"51.30%":[166],"45.27":[168],"%":[169],"under":[170],"identical":[171],"different":[173],"deadlines,":[174],"respectively,":[175],"compared":[176],"local":[178],"computing.":[179]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}