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Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions

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Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions

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dc.contributor.author Vañó, Rafael es_ES
dc.contributor.author Lacalle, Ignacio es_ES
dc.contributor.author Sowinski, Piotr es_ES
dc.contributor.author S-Julián, Raúl es_ES
dc.contributor.author Palau Salvador, Carlos Enrique es_ES
dc.date.accessioned 2024-02-19T19:00:48Z
dc.date.available 2024-02-19T19:00:48Z
dc.date.issued 2023-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/202709
dc.description.abstract [EN] Cloud-native computing principles such as virtualization and orchestration are key to transferring to the promising paradigm of edge computing. Challenges of containerization, operative models and scarce availability of established tools make a thorough review indispensable. Therefore, the authors have described the practical methods and tools found in the literature as well as in current community-led development projects, and have thoroughly exposed the future directions of the field. Container virtualization and its orchestration through Kubernetes have dominated the cloud computing domain, while major efforts have been recently recorded focused on the adaptation of these technologies to the edge. Such initiatives have addressed either the reduction of container engines and the development of specific tailored operating systems or the development of smaller K8s distributions and edge-focused adaptations (such as KubeEdge). Finally, new workload virtualization approaches, such as WebAssembly modules together with the joint orchestration of these heterogeneous workloads, seem to be the topics to pay attention to in the short to medium term. es_ES
dc.description.sponsorship This research was funded by the European Commission under the Horizon Europe project aerOS, grant number 101069732. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Edge computing es_ES
dc.subject Cloud computing es_ES
dc.subject Edge-to-cloud computing continuum es_ES
dc.subject Edge-native es_ES
dc.subject Cloud-native es_ES
dc.subject Container es_ES
dc.subject Kubernetes es_ES
dc.subject MicroVM es_ES
dc.subject Unikernel es_ES
dc.subject WebAssembly es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s23042215 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CEE//101069732//AUTONOMOUS, SCALABLE, TRUSTWORTHY, INTELLIGENT EUROPEAN META OPERATING SYSTEM FOR THE IOT EDGE-CLOUD CONTINUUM/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Vañó, R.; Lacalle, I.; Sowinski, P.; S-Julián, R.; Palau Salvador, CE. (2023). Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions. Sensors. 23(4). https://doi.org/10.3390/s23042215 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s23042215 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23 es_ES
dc.description.issue 4 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 36850813 es_ES
dc.identifier.pmcid PMC9967903 es_ES
dc.relation.pasarela S\482855 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES


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