Publication:

Resource Allocation of Multi-user Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning

 
dc.contributor.authorJimenez Agudelo, Julian
dc.contributor.authorSoto Arenas, Paola
dc.contributor.authorDe Vleeschauwer, Danny
dc.contributor.authorChang, Chia-Yu
dc.contributor.authorDe Bock, Yorick
dc.contributor.authorLatre, Steven
dc.contributor.authorCamelo Botero, Miguel
dc.contributor.imecauthorDe Bock, Yorick
dc.contributor.imecauthorLatre, Steven
dc.contributor.imecauthorJimenez Agudelo, Julian
dc.contributor.imecauthorSoto Arenas, Paola
dc.contributor.imecauthorCamelo Botero, Miguel
dc.contributor.orcidimecDe Bock, Yorick::0000-0003-4540-5354
dc.contributor.orcidimecLatre, Steven::0000-0003-0351-1714
dc.contributor.orcidimecJimenez Agudelo, Julian::0009-0000-5590-9447
dc.contributor.orcidimecSoto Arenas, Paola::0000-0001-5906-6424
dc.contributor.orcidimecCamelo Botero, Miguel::0000-0001-8152-7143
dc.date.accessioned2024-06-06T09:29:45Z
dc.date.available2024-03-15T18:16:45Z
dc.date.available2024-06-06T09:29:45Z
dc.date.issued2023
dc.description.wosFundingTextThis work has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 101017109 "DAEMON" and the imec.icon project 5GECO. 5GECO is co-financed by imec and receives financial support from Flanders Innovation & Entrepreneurship (project nr. HBC.2021.0673) and/or Innoviris.
dc.identifier.doi10.23919/CNSM59352.2023.10327797
dc.identifier.eisbn978-3-903176-59-1
dc.identifier.issn2165-9605
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43686
dc.publisherIEEE
dc.source.conference19th International Conference on Network and Service Management (CNSM) - Network and Service Management in the Era of Generative AI and Digital Twins
dc.source.conferencedateOCT 30-NOV 02, 2023
dc.source.conferencelocationNiagara Falls
dc.source.journalN/A
dc.source.numberofpages5
dc.subject.keywordsLATENCY
dc.title

Resource Allocation of Multi-user Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning

dc.typeProceedings paper
dspace.entity.typePublication
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