{"id":"https://openalex.org/W4408955565","doi":"https://doi.org/10.1109/ds-rt62209.2024.00038","title":"Real-time and Energy-aware Scheduling for Edge-to-Cloud Continuum based on Reinforcement Learning","display_name":"Real-time and Energy-aware Scheduling for Edge-to-Cloud Continuum based on Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4408955565","doi":"https://doi.org/10.1109/ds-rt62209.2024.00038"},"language":"en","primary_location":{"id":"doi:10.1109/ds-rt62209.2024.00038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ds-rt62209.2024.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 28th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","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/A5116841141","display_name":"Andrea Panceri","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Panceri","raw_affiliation_strings":["Sapienza University of Rome,Control and Management Engineering \"A. Ruberti\",Department of Computer"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Control and Management Engineering \"A. Ruberti\",Department of Computer","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033605923","display_name":"Gabriele Proietti Mattia","orcid":"https://orcid.org/0000-0003-4551-7567"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Proietti Mattia","raw_affiliation_strings":["Sapienza University of Rome,Control and Management Engineering \"A. Ruberti\",Department of Computer"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Control and Management Engineering \"A. Ruberti\",Department of Computer","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063573125","display_name":"Roberto Beraldi","orcid":"https://orcid.org/0000-0002-9731-6321"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Beraldi","raw_affiliation_strings":["Sapienza University of Rome,Control and Management Engineering \"A. Ruberti\",Department of Computer"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Control and Management Engineering \"A. Ruberti\",Department of Computer","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3122,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64942335,"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":"166","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9984999895095825,"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":0.9984999895095825,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9979000091552734,"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/T13553","display_name":"Age of Information Optimization","score":0.9775000214576721,"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":0.8498631715774536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361453771591187},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7030712366104126},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5012364387512207},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4562278389930725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2768228352069855},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09553420543670654},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09408026933670044}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8498631715774536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361453771591187},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7030712366104126},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5012364387512207},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4562278389930725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2768228352069855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09553420543670654},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09408026933670044},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ds-rt62209.2024.00038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ds-rt62209.2024.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 28th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2072834565","https://openalex.org/W2144366468","https://openalex.org/W2791328896","https://openalex.org/W2817829786","https://openalex.org/W2962856838","https://openalex.org/W3015366655","https://openalex.org/W3016822131","https://openalex.org/W3017144359","https://openalex.org/W3021544128","https://openalex.org/W3125961706","https://openalex.org/W3129131414","https://openalex.org/W3134322065","https://openalex.org/W3177194571","https://openalex.org/W4210793025","https://openalex.org/W4214717370","https://openalex.org/W6669060165"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919"],"abstract_inverted_index":{"By":[0],"spreading":[1],"out":[2],"computing":[3,30],"workloads":[4],"over":[5],"multiple":[6],"levels,":[7],"the":[8,13,28,91],"Edge-to-Cloud":[9],"continuum":[10],"paradigm":[11],"improves":[12],"performance":[14],"of":[15,35,38,93],"applications":[16],"that":[17],"are":[18],"sensitive":[19],"to":[20,75],"latency.":[21],"However,":[22],"real-time":[23,77],"scheduling":[24,56,73,127],"is":[25],"difficult":[26],"on":[27,59],"Edge":[29,104],"layer":[31],"since":[32],"it":[33],"consists":[34],"a":[36,60],"variety":[37],"nodes":[39,105],"with":[40,125],"varying":[41],"uptime.":[42],"In":[43],"this":[44,48],"paper,":[45],"we":[46],"address":[47],"issue":[49],"by":[50],"proposing":[51],"an":[52],"online":[53],"and":[54,84,109,117,123],"adaptive":[55],"algorithm":[57,66],"based":[58],"continuous":[61],"learning":[62],"Reinforcement":[63],"Learning.":[64],"Our":[65],"determines":[67],"each":[68],"work":[69],"request":[70],"individually,":[71],"optimizing":[72],"policies":[74],"meet":[76],"application":[78],"requirements":[79],"while":[80,112],"taking":[81],"environmental":[82],"energy":[83,115],"battery":[85,118],"limits":[86],"into":[87],"account.":[88],"We":[89],"validate":[90],"efficacy":[92],"our":[94],"approach":[95],"in":[96,101],"dynamically":[97],"assigning":[98],"tasks,":[99],"particularly":[100],"scenarios":[102],"where":[103],"exhibit":[106],"variable":[107],"speeds":[108],"unpredictable":[110],"failures,":[111],"efficiently":[113],"managing":[114],"resources":[116],"constraints":[119],"through":[120],"extensive":[121],"simulations":[122],"comparisons":[124],"static":[126],"strategies.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}