{"id":"https://openalex.org/W4416109865","doi":"https://doi.org/10.1145/3774908","title":"Adaptive Scheduling of Multimodal Large Language Model in Intelligent Edge Computing","display_name":"Adaptive Scheduling of Multimodal Large Language Model in Intelligent Edge Computing","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416109865","doi":"https://doi.org/10.1145/3774908"},"language":"en","primary_location":{"id":"doi:10.1145/3774908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3774908","pdf_url":null,"source":{"id":"https://openalex.org/S16632050","display_name":"ACM Transactions on Autonomous and Adaptive Systems","issn_l":"1556-4665","issn":["1556-4665","1556-4703"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Autonomous and Adaptive Systems","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/A5102711956","display_name":"Xingyu Yuan","orcid":"https://orcid.org/0000-0002-9378-1269"},"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":true,"raw_author_name":"Xingyu Yuan","raw_affiliation_strings":["Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","Muroran Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9378-1269","affiliations":[{"raw_affiliation_string":"Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"Muroran Institute of Technology, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317916","display_name":"He Li","orcid":"https://orcid.org/0000-0003-4325-6631"},"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":"He Li","raw_affiliation_strings":["Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","Muroran Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4325-6631","affiliations":[{"raw_affiliation_string":"Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"Muroran Institute of Technology, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061453937","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 Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","Muroran Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2788-3451","affiliations":[{"raw_affiliation_string":"Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"Muroran Institute of Technology, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106707877","display_name":"Kaoru Ota","orcid":"https://orcid.org/0000-0002-3382-1652"},"institutions":[{"id":"https://openalex.org/I103605164","display_name":"Tohoku Institute of Technology","ror":"https://ror.org/01phqre83","country_code":"JP","type":"education","lineage":["https://openalex.org/I103605164"]},{"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 Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan and Tohoku University, Sendai, Japan","Muroran Institute of Technology, Japan and Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3382-1652","affiliations":[{"raw_affiliation_string":"Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan and Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I41725924"]},{"raw_affiliation_string":"Muroran Institute of Technology, Japan and Tohoku University, Japan","institution_ids":["https://openalex.org/I41725924","https://openalex.org/I103605164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102711956"],"corresponding_institution_ids":["https://openalex.org/I41725924"],"apc_list":null,"apc_paid":null,"fwci":2.5549,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92796795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.35749998688697815,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.35749998688697815,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.11900000274181366,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.06509999930858612,"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/inference","display_name":"Inference","score":0.6549999713897705},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.649399995803833},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5935999751091003},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5640000104904175},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5235000252723694},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8960999846458435},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6549999713897705},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.649399995803833},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5935999751091003},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5235000252723694},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5149999856948853},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5041999816894531},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3280999958515167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2718999981880188}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3774908","pdf_url":null,"source":{"id":"https://openalex.org/S16632050","display_name":"ACM Transactions on Autonomous and Adaptive Systems","issn_l":"1556-4665","issn":["1556-4665","1556-4703"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Autonomous and Adaptive Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3953360075","display_name":null,"funder_award_id":"JPMJPR21P3, JPMJAP2344, and JPMJSP2153","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G6745367532","display_name":null,"funder_award_id":"JP22K11989, JP23K11063, and JP24K14910","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1994005439","https://openalex.org/W2039522160","https://openalex.org/W2194775991","https://openalex.org/W2511425482","https://openalex.org/W2890143438","https://openalex.org/W2936278485","https://openalex.org/W2964221923","https://openalex.org/W2970214107","https://openalex.org/W3021951958","https://openalex.org/W3156233896","https://openalex.org/W4381334359","https://openalex.org/W4386365401","https://openalex.org/W4389306859","https://openalex.org/W4391094120","https://openalex.org/W4392158858","https://openalex.org/W4394862623","https://openalex.org/W4396780191","https://openalex.org/W4401975604","https://openalex.org/W4402155831","https://openalex.org/W4402243741","https://openalex.org/W4404582572","https://openalex.org/W4413147337"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Large":[1,9],"Language":[2,10],"Models":[3,11],"(MLLMs)":[4],"integrate":[5],"multimodal":[6,32,91,101],"encoders":[7,102],"with":[8],"(LLMs)":[12],"to":[13,45,147],"overcome":[14],"the":[15,46,63,94,100,166],"limitations":[16],"of":[17,65,160],"text-only":[18],"models.":[19],"Traditional":[20],"LLMs":[21],"are":[22,43],"deployed":[23],"on":[24,96,103],"high-performance":[25,97],"cloud":[26],"servers,":[27],"but":[28],"MLLMs,":[29],"which":[30],"process":[31],"data,":[33],"face":[34],"high":[35],"transmission":[36],"latency":[37,156,179],"and":[38,59,90,99,124,130,181],"privacy":[39],"risks":[40],"when":[41],"tasks":[42,112,148],"offloaded":[44],"cloud.":[47],"Intelligent":[48],"edge":[49,66,83,114],"computing":[50],"is":[51],"a":[52],"promising":[53],"solution":[54],"for":[55],"supporting":[56],"such":[57],"latency-sensitive":[58],"privacy-sensitive":[60],"tasks.":[61],"However,":[62],"heterogeneity":[64],"environments":[67,84,115],"makes":[68],"efficient":[69],"MLLM":[70,78,87,111],"inference":[71,79,122],"challenging.":[72],"In":[73],"this":[74,136],"work,":[75],"we":[76,107,138],"enhance":[77],"efficiency":[80],"in":[81,113,127,177],"heterogeneous":[82],"by":[85],"decoupling":[86],"into":[88],"LLM":[89,95],"encoders,":[92],"deploying":[93],"devices":[98],"lower-capability":[104],"devices.":[105],"Additionally,":[106],"observe":[108],"that":[109,120,144,165],"processing":[110],"involves":[116],"numerous":[117],"configuration":[118],"parameters":[119,146],"impact":[121],"speed":[123],"energy":[125,151,182],"consumption":[126,152],"an":[128,140],"unknown":[129],"possibly":[131],"time-varying":[132],"fashion.":[133],"To":[134],"address":[135],"challenge,":[137],"present":[139],"adaptive":[141],"scheduling":[142],"algorithm":[143],"assigns":[145],"or":[149],"minimizing":[150],"while":[153],"meeting":[154],"maximum":[155],"constraints.":[157],"The":[158],"results":[159],"extensive":[161],"experimental":[162],"trials":[163],"demonstrate":[164],"proposed":[167],"approach":[168],"consistently":[169],"outperforms":[170],"existing":[171],"state-of-the-art":[172],"methods,":[173],"achieving":[174],"significant":[175],"improvements":[176],"both":[178],"reduction":[180],"efficiency.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-11T00:00:00"}
