{"id":"https://openalex.org/W4413146184","doi":"https://doi.org/10.1109/ipdpsw66978.2025.00169","title":"Dynamic and Forecast-Based Containers Autoscaling for Kubernetes with Reinforcement Learning","display_name":"Dynamic and Forecast-Based Containers Autoscaling for Kubernetes with Reinforcement Learning","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4413146184","doi":"https://doi.org/10.1109/ipdpsw66978.2025.00169"},"language":"en","primary_location":{"id":"doi:10.1109/ipdpsw66978.2025.00169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw66978.2025.00169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","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/A5119282014","display_name":"Alfredo Lipari","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":true,"raw_author_name":"Alfredo Lipari","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering Antonio Ruberti,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering Antonio Ruberti,Rome,Italy","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,Department of Computer, Control and Management Engineering Antonio Ruberti,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering Antonio Ruberti,Rome,Italy","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,Department of Computer, Control and Management Engineering Antonio Ruberti,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering Antonio Ruberti,Rome,Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119282014"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":1.4896,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8586681,"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":"1081","last_page":"1088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.666700005531311,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.666700005531311,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.6309000253677368,"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/T10320","display_name":"Neural Networks and Applications","score":0.5789999961853027,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.821908712387085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7047187089920044},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4351709485054016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38280388712882996},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11191534996032715},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07832419872283936}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.821908712387085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047187089920044},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4351709485054016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38280388712882996},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11191534996032715},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07832419872283936}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdpsw66978.2025.00169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw66978.2025.00169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856"],"abstract_inverted_index":{"Efficient":[0],"resource":[1,86,101],"management":[2],"in":[3,12],"Kubernetes":[4,96],"is":[5],"crucial":[6],"for":[7,60],"optimizing":[8],"performance":[9,35,110],"and":[10,108],"cost":[11],"cloud":[13],"computing":[14],"environments.":[15],"Traditional":[16],"autoscaling":[17],"methods":[18],"react":[19],"to":[20,26,30,79,106,113,116],"workload":[21,61],"changes":[22],"but":[23],"often":[24],"fail":[25],"predict":[27],"them,":[28],"leading":[29],"underutilization":[31],"of":[32,74,104],"resources":[33],"or":[34],"degradation.":[36],"This":[37],"paper":[38],"introduces":[39],"a":[40,49,54,100],"model-free":[41],"Reinforcement":[42],"Learning":[43],"(RL)":[44],"based":[45],"autoscaler":[46,69],"that":[47,91],"leverages":[48],"deep":[50],"Q-Network":[51],"(DQN)":[52],"alongside":[53],"Long":[55],"Short-Term":[56],"Memory":[57],"(LSTM)":[58],"network":[59],"forecasting.":[62],"By":[63],"predicting":[64],"future":[65],"request":[66],"rates,":[67],"our":[68,92],"proactively":[70],"adjusts":[71],"the":[72,117],"number":[73],"container":[75],"replicas,":[76],"ensuring":[77],"compliance":[78],"Service":[80],"Level":[81],"Objectives":[82],"(SLOs)":[83],"while":[84],"minimizing":[85],"usage.":[87],"Experimental":[88],"results":[89],"demonstrate":[90],"approach":[93],"outperforms":[94],"standard":[95],"auto-scaling":[97,119],"strategies,":[98],"achieving":[99],"consumption":[102],"reduction":[103],"up":[105,112],"10%":[107],"improving":[109],"levels":[111],"30%":[114],"compared":[115],"default":[118],"algorithm.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}