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 |