{"id":"https://openalex.org/W4401538997","doi":"https://doi.org/10.1109/infocomwkshps61880.2024.10620748","title":"Power Efficient Edge-Cloud Cooperation by Value-Sensitive Bayesian Attractor Model","display_name":"Power Efficient Edge-Cloud Cooperation by Value-Sensitive Bayesian Attractor Model","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401538997","doi":"https://doi.org/10.1109/infocomwkshps61880.2024.10620748"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps61880.2024.10620748","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":["Graduate School of Economics, Osaka University,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Economics, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I14314212"]}]},{"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":["Cyber Media Center, Osaka University,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyber Media Center, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","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":["Graduate School of Information Science and Technology, Osaka University,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","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":["Graduate School of Information Science and Technology, Osaka University,Osaka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","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":0.6895,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76237924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9825000166893005,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9825000166893005,"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/T11478","display_name":"Caching and Content Delivery","score":0.9715999960899353,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9606000185012817,"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/cloud-computing","display_name":"Cloud computing","score":0.7528218030929565},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6378870606422424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6040632128715515},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.55219966173172},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.5473319888114929},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.48953184485435486},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4444672763347626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21065816283226013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17004570364952087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13993775844573975},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08449628949165344}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7528218030929565},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6378870606422424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040632128715515},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.55219966173172},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.5473319888114929},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.48953184485435486},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4444672763347626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21065816283226013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17004570364952087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13993775844573975},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08449628949165344},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps61880.2024.10620748","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323843","display_name":"Ministry of Information and Communication","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1275832873","https://openalex.org/W1513624053","https://openalex.org/W1978242753","https://openalex.org/W2407386500","https://openalex.org/W2507118341","https://openalex.org/W2792927277","https://openalex.org/W2960833983","https://openalex.org/W2969491006","https://openalex.org/W3024862772","https://openalex.org/W3211716931","https://openalex.org/W4285217780","https://openalex.org/W4384129551","https://openalex.org/W4384129593","https://openalex.org/W4386781663","https://openalex.org/W4387245356"],"related_works":["https://openalex.org/W2960434112","https://openalex.org/W3049714198","https://openalex.org/W2036805113","https://openalex.org/W2592279130","https://openalex.org/W2049158118","https://openalex.org/W2123827981","https://openalex.org/W4205994410","https://openalex.org/W1499880030","https://openalex.org/W34461864","https://openalex.org/W2181936729"],"abstract_inverted_index":{"Edge":[0],"computing":[1,70],"has":[2],"emerged":[3],"as":[4],"a":[5,45,112,124,133,137],"critical":[6],"paradigm":[7],"in":[8,68,96,111,123,136,164],"AI":[9],"and":[10,16,31,65,78,85,184],"IoT":[11],"applications,":[12],"offering":[13],"reduced":[14],"latency":[15],"improved":[17],"efficiency":[18],"over":[19],"traditional":[20],"cloud-based":[21],"systems.":[22,87],"However,":[23],"the":[24,29,32,52,75,89,104,109,120],"limited":[25],"computational":[26,76],"resources":[27],"at":[28],"edge":[30,69,84],"need":[33],"for":[34,48,115,119],"energy-efficient":[35],"operations":[36],"pose":[37],"significant":[38],"challenges.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,149],"propose":[44],"novel":[46],"approach":[47,153],"edge-cloud":[49],"co-operation":[50],"using":[51],"Value-Sensitive":[53],"Bayesian":[54],"Attractor":[55],"Model":[56],"(VSBAM).":[57],"Our":[58,169],"method":[59],"focuses":[60],"on":[61,143],"optimizing":[62],"resource":[63,92],"allocation":[64,93],"decision-making":[66],"processes":[67],"environments,":[71],"taking":[72],"into":[73],"account":[74],"constraints":[77],"power":[79,157,181],"consumption":[80,158],"requirements":[81],"of":[82,91,98,140],"both":[83],"cloud":[86],"Although":[88],"optimization":[90],"is":[94,178],"problematic":[95],"terms":[97],"its":[99],"computation":[100,105,110],"time,":[101],"VSBAM":[102,127],"reduces":[103],"time":[106,141],"by":[107,131],"performing":[108],"distributed":[113,125],"manner":[114],"each":[116],"session.":[117],"Also,":[118],"convergence":[121],"problem":[122],"system,":[126],"can":[128,154],"converge":[129],"quickly":[130],"finding":[132],"quasi-optimal":[134],"solution":[135],"short":[138],"period":[139],"based":[142],"user":[144],"values.":[145],"Through":[146],"simulation-based":[147],"evaluations,":[148],"demonstrate":[150],"that":[151,173],"our":[152,174],"significantly":[155],"reduce":[156],"while":[159],"maintaining":[160],"high":[161],"performance,":[162],"especially":[163],"scenarios":[165],"involving":[166],"numerous":[167],"sessions.":[168],"findings":[170],"also":[171],"show":[172],"decentralized":[175],"control":[176,189],"strategy":[177],"robust":[179],"against":[180],"model":[182],"errors":[183],"performs":[185],"comparably":[186],"to":[187],"centralized":[188],"methods.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}