Publication:

HephaestusForge: Optimal microservice deployment across the Compute Continuum via Reinforcement Learning

Date

2025
Journal article
https://doi.org/10.1016/j.future.2024.107680
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dc.contributor.authorSantos, Jose
dc.contributor.authorZaccarini, Mattia
dc.contributor.authorPoltronieri, Filippo
dc.contributor.authorTortonesi, Mauro
dc.contributor.authorStefanelli, Cesare
dc.contributor.authorDi Cicco, Nicola
dc.contributor.authorDe Turck, Filip
dc.contributor.imecauthorSantos, Jose
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.date.accessioned2025-02-06T07:31:37Z
dc.date.available2025-02-05T20:50:25Z
dc.date.available2025-02-06T07:31:37Z
dc.date.issued2025
dc.description.wosFundingTextThis work has been partially supported by the Spoke 1 "FutureHPC & BigData" of the Italian Research Center on High-Performance Computing, Big Data and Quantum Computing (ICSC) funded by MUR Missione 4-Next Generation EU (NGEU) . Jose Santos is funded by the Research Foundation Flanders (FWO) , Belgium, grant number 1299323N.
dc.identifier.doi10.1016/j.future.2024.107680
dc.identifier.issn0167-739X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45175
dc.publisherELSEVIER
dc.source.beginpage1
dc.source.endpage16
dc.source.issue/
dc.source.journalFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
dc.source.numberofpages16
dc.source.volume166
dc.subject.keywordsSERVICE FUNCTION CHAIN
dc.subject.keywordsCLOUD
dc.subject.keywordsORCHESTRATION
dc.title

HephaestusForge: Optimal microservice deployment across the Compute Continuum via Reinforcement Learning

dc.typeJournal article
dspace.entity.typePublication
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