Publication:

Gwydion: Efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning

Date

2025
Journal article
https://doi.org/10.1016/j.jnca.2024.104067
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dc.contributor.authorSantos, Jose
dc.contributor.authorReppas, Efstratios
dc.contributor.authorWauters, Tim
dc.contributor.authorVolckaert, Bruno
dc.contributor.authorDe Turck, Filip
dc.contributor.imecauthorSantos, Jose
dc.contributor.imecauthorWauters, Tim
dc.contributor.imecauthorVolckaert, Bruno
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecWauters, Tim::0000-0003-2618-3311
dc.contributor.orcidimecVolckaert, Bruno::0000-0003-0575-5894
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.date.accessioned2025-02-06T12:56:47Z
dc.date.available2024-12-16T16:59:58Z
dc.date.available2024-12-17T10:39:32Z
dc.date.available2025-02-06T12:56:47Z
dc.date.embargo2024-11-29
dc.date.issued2025
dc.description.wosFundingTextJose Santos is funded by the Research Foundation Flanders (FWO) , Belgium, grant number 1299323N. This work is supported by the Belgian Chancellery of the Prime Minister (Grant: AIDE-BOSA) .
dc.identifier.doi10.1016/j.jnca.2024.104067
dc.identifier.issn1084-8045
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44979
dc.publisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
dc.source.beginpageArt. 104067
dc.source.endpageN/A
dc.source.issueFebruary
dc.source.journalJOURNAL OF NETWORK AND COMPUTER APPLICATIONS
dc.source.numberofpages16
dc.source.volume234
dc.subject.keywordsRECURRENT NEURAL-NETWORKS
dc.subject.keywordsWORKLOAD PREDICTION
dc.subject.keywordsWEB APPLICATIONS
dc.subject.keywordsCLOUD
dc.subject.keywordsPERFORMANCE
dc.subject.keywordsMANAGEMENT
dc.subject.keywordsELASTICITY
dc.subject.keywordsCONTROLLER
dc.subject.keywordsMODEL
dc.title

Gwydion: Efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning

dc.typeJournal article
dspace.entity.typePublication
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