{"id":"https://openalex.org/W4414538515","doi":"https://doi.org/10.1109/icc52391.2025.11161581","title":"Edge to Cloud Service Placement Based on Reinforcement Learning in 6G Networks","display_name":"Edge to Cloud Service Placement Based on Reinforcement Learning in 6G Networks","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538515","doi":"https://doi.org/10.1109/icc52391.2025.11161581"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161581","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/A5009602502","display_name":"Paris Flegkas","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Paris Flegkas","raw_affiliation_strings":["Electrical &#x0026; Computer Eng., University of Thessaly,Volos,Greece"],"affiliations":[{"raw_affiliation_string":"Electrical &#x0026; Computer Eng., University of Thessaly,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119739749","display_name":"Giannis Roumpos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162154","display_name":"IMDEA Software","ror":"https://ror.org/04xvfkh51","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I4210162154"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Giannis Roumpos","raw_affiliation_strings":["IMDEA Software Institute,Madrid,Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Software Institute,Madrid,Spain","institution_ids":["https://openalex.org/I4210162154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050856138","display_name":"Vasilis Sourlas","orcid":"https://orcid.org/0000-0003-2678-4002"},"institutions":[{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasilis Sourlas","raw_affiliation_strings":["Institute of Communication and Computer Systems (ICCS),Athens,Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Communication and Computer Systems (ICCS),Athens,Greece","institution_ids":["https://openalex.org/I4210144519"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088400616","display_name":"Angelos Amditis","orcid":"https://orcid.org/0000-0002-4089-1990"},"institutions":[{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Angelos Amditis","raw_affiliation_strings":["Institute of Communication and Computer Systems (ICCS),Athens,Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Communication and Computer Systems (ICCS),Athens,Greece","institution_ids":["https://openalex.org/I4210144519"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009602502"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":13.9959,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98508015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1139","last_page":"1144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9526000022888184,"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":0.9451000094413757,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8094000220298767},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7864000201225281},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6373000144958496},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5940999984741211},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5709999799728394},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4767000079154968},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4659999907016754},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4097999930381775},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.3831999897956848}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8094000220298767},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7864000201225281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750999927520752},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6373000144958496},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5982999801635742},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5940999984741211},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5709999799728394},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4767000079154968},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4659999907016754},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35589998960494995},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C2779618445","wikidata":"https://www.wikidata.org/wiki/Q1640628","display_name":"Network service","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.32030001282691956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3075000047683716},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C2778160497","wikidata":"https://www.wikidata.org/wiki/Q869830","display_name":"Service-level agreement","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C181889124","wikidata":"https://www.wikidata.org/wiki/Q380204","display_name":"Service level","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2563000023365021},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161581","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2040212220","https://openalex.org/W2808663279","https://openalex.org/W2890719226","https://openalex.org/W2917099630","https://openalex.org/W3009360739","https://openalex.org/W3189481398","https://openalex.org/W4214546992","https://openalex.org/W4312006403"],"related_works":[],"abstract_inverted_index":{"Telecommunications":[0],"are":[1],"undergoing":[2],"a":[3,42,89,139],"transformation":[4],"due":[5],"to":[6,49,66,70,108,114,118],"the":[7,13,77,98,104,119,129,132,143,147,171,177,181,197],"introduction":[8],"of":[9,31,44,79,101,124,131,142,149,180],"5":[10],"G":[11,106],"and":[12,25,34,53,81,121,164,187],"upcoming":[14],"6G":[15,82],"technologies,":[16],"which":[17],"promise":[18],"previously":[19],"unheardof":[20],"speeds,":[21],"extremely":[22],"low":[23],"latency,":[24],"widespread":[26],"access.":[27],"The":[28,111,166],"resource":[29,68],"management":[30],"edge,":[32],"fog,":[33],"cloud":[35,109],"infrastructures":[36],"is":[37,113],"facing":[38],"new":[39],"difficulties":[40],"as":[41],"result":[43],"these":[45],"improvements.":[46],"In":[47,84],"order":[48],"optimize":[50],"performance,":[51],"cost-efficiency,":[52],"energy":[54],"consumption,":[55],"this":[56,73,85],"paper":[57],"investigates":[58],"how":[59,192],"machine":[60],"learning":[61,91],"(ML)":[62],"might":[63],"be":[64],"used":[65],"improve":[67],"allocation":[69],"services":[71,102],"across":[72,103],"continuum,":[74],"specifically":[75],"in":[76,146,152,184],"context":[78,148],"B5G":[80],"networks.":[83],"work,":[86],"we":[87,135],"propose":[88],"reinforcement":[90],"based":[92],"algorithm":[93,145,173,183],"using":[94],"Q-learning":[95],"for":[96],"determining":[97],"best":[99],"locations":[100],"6":[105],"edge":[107],"continuum.":[110],"aim":[112],"ensure":[115],"better":[116,175],"QoS":[117],"users":[120],"efficient":[122],"use":[123],"network":[125,157,162,193],"resources.":[126],"To":[127],"evaluate":[128],"performance":[130],"proposed":[133,172],"approach":[134],"compare":[136],"it":[137],"with":[138],"traditional":[140,178],"state":[141,179],"art":[144,182],"content":[150],"placement":[151],"CCNs,":[153],"taking":[154],"into":[155],"consideration":[156],"related":[158],"metrics":[159],"such":[160],"overall":[161],"traffic":[163],"delay.":[165],"experimental":[167],"analysis":[168],"shows":[169],"that":[170],"performs":[174],"than":[176],"most":[185],"cases":[186],"reveals":[188],"some":[189],"insights":[190],"on":[191],"topological":[194],"configurations":[195],"affect":[196],"performance.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
