{"id":"https://openalex.org/W7114914202","doi":"https://doi.org/10.1145/3770501.3771304","title":"Streamlining ML Training in Kubernetes: An MLOps Architecture with Kubeflow","display_name":"Streamlining ML Training in Kubernetes: An MLOps Architecture with Kubeflow","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7114914202","doi":"https://doi.org/10.1145/3770501.3771304"},"language":null,"primary_location":{"id":"doi:10.1145/3770501.3771304","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770501.3771304","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3770501.3771304","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on the Internet of Things","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3770501.3771304","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ioannis Korontanis","orcid":"https://orcid.org/0009-0005-4174-537X"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Korontanis","raw_affiliation_strings":["Harokopio University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0009-0005-4174-537X","affiliations":[{"raw_affiliation_string":"Harokopio University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Athina Zacharia","orcid":"https://orcid.org/0009-0009-9295-471X"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athina Zacharia","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0009-0009-9295-471X","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Antonios Makris","orcid":"https://orcid.org/0000-0003-0514-4292"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonios Makris","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0003-0514-4292","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maria Pateraki","orcid":"https://orcid.org/0000-0002-8943-4598"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Pateraki","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-8943-4598","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":null,"display_name":"Konstantinos Tserpes","orcid":"https://orcid.org/0000-0001-5183-1443"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Tserpes","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5183-1443","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32762134"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80995799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"267","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.24799999594688416,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.24799999594688416,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.1120000034570694,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.10019999742507935,"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/devops","display_name":"DevOps","score":0.7918000221252441},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7567999958992004},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.707099974155426},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.555899977684021},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5339000225067139},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4528999924659729}],"concepts":[{"id":"https://openalex.org/C9903902","wikidata":"https://www.wikidata.org/wiki/Q3025536","display_name":"DevOps","level":3,"score":0.7918000221252441},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7567999958992004},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.707099974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744999885559082},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.6248999834060669},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4528999924659729},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C2778505942","wikidata":"https://www.wikidata.org/wiki/Q18344624","display_name":"Microservices","level":3,"score":0.34599998593330383},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C35869016","wikidata":"https://www.wikidata.org/wiki/Q846636","display_name":"Software architecture","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.28049999475479126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770501.3771304","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770501.3771304","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3770501.3771304","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on the Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3770501.3771304","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770501.3771304","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3770501.3771304","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on the Internet of Things","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5339740514755249,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7114914202.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W3034268164","https://openalex.org/W3134317408","https://openalex.org/W3134670202","https://openalex.org/W3178436058","https://openalex.org/W3210418146","https://openalex.org/W4308732931","https://openalex.org/W4392431303","https://openalex.org/W4396530290","https://openalex.org/W4399615287","https://openalex.org/W4402897208","https://openalex.org/W4405754982","https://openalex.org/W4406260420","https://openalex.org/W6936237069"],"related_works":[],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"Operations":[2],"(MLOps)":[3],"is":[4],"essential":[5],"for":[6,44,55,97],"automating":[7],"the":[8],"deployment,":[9],"monitoring,":[10],"and":[11,37,46,71,82,91,94],"management":[12],"of":[13],"ML":[14,48,57],"models.":[15,49],"By":[16],"integrating":[17],"MLOps":[18,35,99],"with":[19,61],"DevOps":[20],"practices,":[21],"developers":[22],"can":[23],"create":[24],"automated":[25],"training":[26,45],"pipelines.":[27],"This":[28],"paper":[29],"explores":[30],"using":[31],"Kubeflow":[32,50],"as":[33,40],"an":[34],"platform":[36],"GitHub":[38,76],"Actions":[39,77],"a":[41,52],"CI/CD":[42],"pipeline":[43],"deploying":[47],"provides":[51],"scalable":[53],"framework":[54],"orchestrating":[56],"workflows":[58],"in":[59],"containers,":[60],"Kubernetes":[62],"enabling":[63],"efficient":[64],"resource":[65],"management.":[66],"Containerization":[67],"ensures":[68],"consistency,":[69],"portability,":[70],"reproducibility":[72],"across":[73],"environments,":[74],"while":[75],"automates":[78],"testing,":[79],"version":[80],"control,":[81],"deployment.":[83],"A":[84],"real-world":[85],"case":[86],"study":[87],"demonstrates":[88],"this":[89],"architecture":[90],"discusses":[92],"challenges":[93],"best":[95],"practices":[96],"modern":[98],"workflows.":[100]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-12T00:00:00"}