Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22697
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dc.contributor.authorKjorveziroski, Vojdanen_US
dc.contributor.authorBernad Canto, Cristinaen_US
dc.contributor.authorGilly, Katjaen_US
dc.contributor.authorFiliposka, Sonjaen_US
dc.date.accessioned2022-08-30T12:58:12Z-
dc.date.available2022-08-30T12:58:12Z-
dc.date.issued2022-
dc.identifier.citationV. Kjorveziroski, C. Canto, K. Gilly, S. Filiposka ‘Serverless Platforms Performance Evaluation at the Network Edge’, in ICT Innovations 2022.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22697-
dc.description.abstractThe introduction of novel telecommunication standards such as 5G and beyond, which offer increased throughput and more efficient network communication, serve as enablers for new technologies. One of these technologies is Multi-Access Edge Computing (MEC), with the potential to revolutionize existing computing architectures and their feature set as we know them to-day. By collocating compute nodes with mobile networking equipment, customers are offered reduced latency and increased privacy, compared to alternative scenarios where the traffic is indiscriminately routed to the cloud. However, the distributed nature of the mobile landscape, coupled with the huge number of involved parties, requires careful consideration and standardization before any rollout. A number of reference documents have been published in recent years with the aim of standardizing the communication interfaces of MEC. We discuss these standardization efforts and provide a description of a MEC architecture centered around the Kubernetes container orchestrator, replacing the concept of virtualized MEC applications with containerized instances which can be deployed as serverless functions. We also offer a use-case scenario leveraging the described component mapping, showcasing the scalability and load-balancing features of the proposed architecture.-
dc.description.sponsorshipFINKI-
dc.language.isoenen_US
dc.publisherICT Innovationsen_US
dc.relationSCAP-
dc.subjectMulti-Access Edge Computing, Architecture Mapping, Kubernetes, Serverless Computing, 5G.-
dc.titleImplementing Multi-Access Edge Computing with Kubernetesen_US
dc.typeArticleen_US
dc.relation.conferenceICT Innovations 2022-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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