Publication:

Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-Based VNF Deployments

Date

2025-JUL
Journal article
https://doi.org/10.1109/MNET.2024.3486623
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dc.contributor.authorChetty, Swarna Bindu
dc.contributor.authorNag, Avishek
dc.contributor.authorAl-Tahmeesschi, Ahmed
dc.contributor.authorWang, Qiao
dc.contributor.authorCanberk, Berk
dc.contributor.authorMarquez-Barja, Johann
dc.contributor.authorAhmadi, Hamed
dc.date.accessioned2025-08-15T03:57:02Z
dc.date.available2025-08-15T03:57:02Z
dc.date.issued2025-JUL
dc.description.wosFundingTextThis work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC), U.K., through the Impact Acceleration Accounts (IAA) for the Project "Green Secure and Privacy Aware Wireless Networks for Sustainable Future Connected and Autonomous Systems" under Grant EP/X525856/1; and in part by the CHEDDAR: Communications Hub for Empowering Distributed ClouD Computing Applications and Research, funded by the U.K. EPSRC under Grant EP/Y037421/1 and Grant EP/X040518/1. The work of Berk Canberk was supported in part by The Scientific and Technological Research Council of Turkey (TUBITAK) through the 1515 Frontier Research and Development Laboratories Support Program for the BTS Group's Advanced AI Hub: BTS Autonomous Networks and Data Innovation Lab Project, under Project 5239903.
dc.identifier.doi10.1109/MNET.2024.3486623
dc.identifier.issn0890-8044
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46075
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage235
dc.source.endpage243
dc.source.issue4
dc.source.journalIEEE NETWORK
dc.source.numberofpages9
dc.source.volume39
dc.title

Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-Based VNF Deployments

dc.typeJournal article
dspace.entity.typePublication
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