{"id":"https://openalex.org/W4360605222","doi":"https://doi.org/10.1109/icnc57223.2023.10073977","title":"Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing","display_name":"Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605222","doi":"https://doi.org/10.1109/icnc57223.2023.10073977"},"language":"en","primary_location":{"id":"doi:10.1109/icnc57223.2023.10073977","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc57223.2023.10073977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computing, Networking and Communications (ICNC)","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/A5085622633","display_name":"Tatsuya Otoshi","orcid":"https://orcid.org/0000-0002-3522-9126"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Otoshi","raw_affiliation_strings":["Osaka University,Graduate School of Economics","Graduate School of Economics, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Economics","institution_ids":["https://openalex.org/I14314212"]},{"raw_affiliation_string":"Graduate School of Economics, Osaka University","institution_ids":["https://openalex.org/I14314212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019839911","display_name":"Masayuki Murata","orcid":"https://orcid.org/0000-0002-4168-2875"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Murata","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology","Graduate School of Information Science and Technology, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009082300","display_name":"Hideyuki Shimonishi","orcid":"https://orcid.org/0009-0004-4364-5877"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Shimonishi","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology","Graduate School of Information Science and Technology, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065891593","display_name":"Tetsuya Shimokawa","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Shimokawa","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology","Graduate School of Information Science and Technology, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.02416056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"12","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9801999926567078,"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/T10320","display_name":"Neural Networks and Applications","score":0.9801999926567078,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9685999751091003,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.948199987411499,"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/computer-science","display_name":"Computer science","score":0.7936655879020691},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6773804426193237},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6073664426803589},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5027875900268555},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4525642693042755},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4452746510505676},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.4434796869754791},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4390334486961365},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4220072329044342},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39311468601226807},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39015722274780273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3181755542755127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08983087539672852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7936655879020691},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6773804426193237},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6073664426803589},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5027875900268555},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4525642693042755},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4452746510505676},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.4434796869754791},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4390334486961365},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4220072329044342},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39311468601226807},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39015722274780273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3181755542755127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08983087539672852},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc57223.2023.10073977","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc57223.2023.10073977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1513624053","https://openalex.org/W1821462560","https://openalex.org/W2052398297","https://openalex.org/W2082542916","https://openalex.org/W2960833983","https://openalex.org/W2969491006","https://openalex.org/W2987429813","https://openalex.org/W2991132836","https://openalex.org/W3022500044","https://openalex.org/W3045700318","https://openalex.org/W3099682092","https://openalex.org/W3138575418","https://openalex.org/W3143083938","https://openalex.org/W4226038290","https://openalex.org/W4226400653","https://openalex.org/W4385245566","https://openalex.org/W6638523607","https://openalex.org/W6757483233"],"related_works":["https://openalex.org/W2945616868","https://openalex.org/W3198400587","https://openalex.org/W4287076991","https://openalex.org/W2995654207","https://openalex.org/W3184768109","https://openalex.org/W2804912624","https://openalex.org/W4223535265","https://openalex.org/W4226427977","https://openalex.org/W4281293975","https://openalex.org/W4213318358"],"abstract_inverted_index":{"Edge":[0],"computing":[1],"responsive":[2],"applications":[3],"have":[4,81],"been":[5],"gaining":[6],"attention":[7],"in":[8,12,43,124,200,248],"recent":[9],"years,":[10],"especially":[11],"AI":[13,15,42,47],"technology.":[14],"distillation":[16],"techniques":[17],"allow":[18],"compact":[19],"models":[20,50,154],"to":[21,86,160,191,221],"be":[22,39,68],"placed":[23],"at":[24],"the":[25,44,56,90,93,103,107,115,121,131,142,148,171,179,189,197,231,239,249],"edge":[26],"or":[27],"terminal,":[28],"where":[29],"computational":[30,87],"power":[31,65],"is":[32,51,109,158],"limited,":[33],"with":[34,48,141],"lower":[35],"latency":[36],"than":[37],"can":[38],"processed":[40],"by":[41,196],"cloud.":[45],"However,":[46,168],"smaller":[49],"generally":[52],"less":[53],"accurate,":[54],"so":[55],"tradeoff":[57],"between":[58],"accuracy":[59],"and":[60,206,212,245],"latency,":[61],"as":[62,64],"well":[63],"consumption,":[66],"must":[67],"taken":[69],"into":[70,210],"account":[71],"when":[72,106,178,230],"determining":[73,130],"processing":[74],"assignments.":[75],"Conventionally,":[76],"such":[77],"task":[78],"allocation":[79],"problems":[80],"required":[82],"heuristic":[83,94],"release":[84,95],"due":[85],"difficulties.":[88],"On":[89],"other":[91],"hand,":[92],"method":[96],"has":[97,170],"a":[98,125,162,192,223],"problem":[99,172],"of":[100,117,181,226,233,241],"deviation":[101],"from":[102],"optimal":[104,122],"solution":[105,123,133,164],"environment":[108,127],"quasi-static.":[110],"Our":[111],"research":[112],"group":[113],"takes":[114],"approach":[116],"continuously":[118],"searching":[119],"for":[120,134],"quasi-static":[126,144],"while":[128],"immediately":[129],"quasi-optimal":[132,163],"dynamic":[135],"environmental":[136],"changes":[137],"based":[138,165],"on":[139,166],"similarities":[140],"past":[143],"environment.":[145],"In":[146,184],"particular,":[147],"Bayesian":[149],"attractor":[150],"model":[151],"(BAM),":[152],"which":[153],"brain":[155],"decision":[156,202],"making,":[157,203],"used":[159],"select":[161],"similarity.":[167],"BAM":[169,190],"that":[173,199,217],"appropriate":[174,242],"selection":[175],"becomes":[176],"difficult":[177],"number":[180,232],"alternatives":[182],"increases.":[183,235],"this":[185,218],"paper,":[186],"we":[187],"extend":[188],"hierarchical":[193],"model,":[194],"inspired":[195],"fact":[198],"human":[201],"related":[204],"concepts":[205],"operations":[207],"are":[208],"grouped":[209],"chunks":[211],"organized":[213],"hierarchically.":[214],"We":[215,236],"show":[216],"allows":[219],"us":[220],"maintain":[222],"high":[224],"rate":[225],"correct":[227],"responses":[228],"even":[229],"choices":[234],"also":[237],"investigate":[238],"composition":[240],"conceptual":[243],"hierarchies":[244],"updating":[246],"methods":[247],"temporal":[250],"hierarchy.":[251]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
