Conference paper Open Access
Faticanti, Francescomaria; Santoro, Daniele; Cretti, Silvio; Siracusa, Domenico
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.4596272</identifier> <creators> <creator> <creatorName>Faticanti, Francescomaria</creatorName> <givenName>Francescomaria</givenName> <familyName>Faticanti</familyName> <affiliation>Fondazione Bruno Kessler</affiliation> </creator> <creator> <creatorName>Santoro, Daniele</creatorName> <givenName>Daniele</givenName> <familyName>Santoro</familyName> <affiliation>Fondazione Bruno Kessler</affiliation> </creator> <creator> <creatorName>Cretti, Silvio</creatorName> <givenName>Silvio</givenName> <familyName>Cretti</familyName> <affiliation>Fondazione Bruno Kessler</affiliation> </creator> <creator> <creatorName>Siracusa, Domenico</creatorName> <givenName>Domenico</givenName> <familyName>Siracusa</familyName> <affiliation>Fondazione Bruno Kessler</affiliation> </creator> </creators> <titles> <title>An Application of Kubernetes Cluster Federation in Fog Computing</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <dates> <date dateType="Issued">2021-03-11</date> </dates> <resourceType resourceTypeGeneral="ConferencePaper"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4596272</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4596271</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This demonstration aims at showcasing an application of a cluster federation to increase the elasticity and resilience of a Fog Computing system. Federation is performed by means of the Kubernetes Cluster Federation (KubeFed), a framework&nbsp;we augmented with a two-phase workload placement mechanism that smartly distributes applications&#39; microservices among the federated infrastructure. Despite KubeFed has been generally used in a multi-cloud environment for workloads split on different cloud providers avoiding the lock-in, in this demonstration we show that it can also be used for implementing a decentralized control plane in a highly distributed architecture where networking issues should be taken into account.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/815141/">815141</awardNumber> <awardTitle>Decentralised technologies for orchestrated cloud-to-edge intelligence</awardTitle> </fundingReference> </fundingReferences> </resource>
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