{"id":"https://openalex.org/W4389664945","doi":"https://doi.org/10.1109/jiot.2023.3342438","title":"Dynamic Split Computing Framework in Distributed Serverless Edge Clouds","display_name":"Dynamic Split Computing Framework in Distributed Serverless Edge Clouds","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389664945","doi":"https://doi.org/10.1109/jiot.2023.3342438"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3342438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3342438","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5007398507","display_name":"Haneul Ko","orcid":"https://orcid.org/0000-0002-9067-445X"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Haneul Ko","raw_affiliation_strings":["Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075644118","display_name":"Hyeonjae Jeong","orcid":"https://orcid.org/0000-0002-6320-7063"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonjae Jeong","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109974634","display_name":"Daeyoung Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daeyoung Jung","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015321839","display_name":"Sangheon Pack","orcid":"https://orcid.org/0000-0002-1085-1568"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangheon Pack","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007398507"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":2.9954,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91918523,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":"8","first_page":"14523","last_page":"14531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.995199978351593,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.995199978351593,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9829999804496765,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7888350486755371},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7594699263572693},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6541163921356201},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6274203062057495},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6229923367500305},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5384753346443176},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5362358093261719},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5070195198059082},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.49724701046943665},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.48873281478881836},{"id":"https://openalex.org/keywords/container","display_name":"Container (type theory)","score":0.4398810565471649},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.428469717502594},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4260081648826599},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2321193814277649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14055854082107544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09193256497383118},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08219900727272034},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07677853107452393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888350486755371},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7594699263572693},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6541163921356201},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6274203062057495},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6229923367500305},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5384753346443176},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5362358093261719},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5070195198059082},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.49724701046943665},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.48873281478881836},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.4398810565471649},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.428469717502594},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4260081648826599},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2321193814277649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14055854082107544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09193256497383118},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08219900727272034},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07677853107452393},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3342438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3342438","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3731879924","display_name":null,"funder_award_id":"2022-0-00531","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G3761989053","display_name":null,"funder_award_id":"2022-0-01015","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2604319603","https://openalex.org/W2735574181","https://openalex.org/W2789530668","https://openalex.org/W2809251854","https://openalex.org/W2971900157","https://openalex.org/W2981114133","https://openalex.org/W2987375765","https://openalex.org/W3004784593","https://openalex.org/W3011134162","https://openalex.org/W3037900478","https://openalex.org/W3044591330","https://openalex.org/W3049640275","https://openalex.org/W3086488190","https://openalex.org/W3094144275","https://openalex.org/W3102767875","https://openalex.org/W3107792054","https://openalex.org/W3134255974","https://openalex.org/W3135792543","https://openalex.org/W3148579069","https://openalex.org/W3155705005","https://openalex.org/W3164477047","https://openalex.org/W3172857592","https://openalex.org/W3174911677","https://openalex.org/W3194131854","https://openalex.org/W3202577926","https://openalex.org/W3210003188","https://openalex.org/W3213894032","https://openalex.org/W4205093761","https://openalex.org/W4205938345","https://openalex.org/W4235435541","https://openalex.org/W4311165406","https://openalex.org/W6717080717"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913"],"abstract_inverted_index":{"Distributed":[0],"serverless":[1,34],"edge":[2,35,40,94,146],"clouds":[3,95],"and":[4,48],"split":[5,28],"computing":[6,29,136],"are":[7],"promising":[8],"technologies":[9],"to":[10,60,81,133],"reduce":[11],"the":[12,39,83,88,109,129,134],"inference":[13,84,130],"latency":[14,85,131],"of":[15,53,92,144],"large-scale":[16],"deep":[17],"neural":[18],"networks":[19],"(DNNs).":[20],"In":[21,37],"this":[22],"article,":[23],"we":[24,72],"propose":[25],"a":[26,66,74,97,113],"dynamic":[27],"framework":[30],"(DSCF)":[31],"in":[32,65],"distributed":[33,93,145],"clouds.":[36,147],"DSCF,":[38],"cloud":[41],"orchestrator":[42],"dynamically":[43],"determines":[44],"1)":[45],"splitting":[46],"point":[47],"2)":[49],"warm":[50,67],"status":[51],"maintenance":[52],"container":[54,63],"instances":[55],"(i.e.,":[56],"whether":[57],"or":[58],"not":[59],"maintain":[61],"each":[62],"instance":[64],"status).":[68],"For":[69],"optimal":[70,101],"decisions,":[71],"formulate":[73],"constrained":[75],"Markov":[76],"decision":[77],"process":[78],"(CMDP)":[79],"problem":[80],"minimize":[82],"while":[86,138],"maintaining":[87,139],"average":[89],"resource":[90,142],"consumption":[91,143],"below":[96],"certain":[98],"level.":[99],"The":[100,118],"stochastic":[102],"policy":[103],"can":[104,124],"be":[105],"obtained":[106],"by":[107],"converting":[108],"CMDP":[110],"model":[111],"into":[112],"linear":[114],"programming":[115],"(LP)":[116],"model.":[117],"evaluation":[119],"results":[120],"demonstrate":[121],"that":[122],"DSCF":[123],"achieve":[125],"less":[126],"than":[127],"half":[128],"compared":[132],"local":[135],"scheme":[137],"sufficient":[140],"low":[141]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
