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dc.contributor.authorAlonso, Juncal
dc.contributor.authorOrue Echevarria, Leire
dc.contributor.authorHuarte Arrayago, Maider ORCID
dc.date.accessioned2022-05-17T11:50:06Z
dc.date.available2022-05-17T11:50:06Z
dc.date.issued2022-04-25
dc.identifier.citationApplied Sciences 12(9) : (2022) // Article ID 4347es_ES
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10810/56577
dc.description.abstractThe current trend of developing highly distributed, context aware, heterogeneous computing intense and data-sensitive applications is changing the boundaries of cloud computing. Encouraged by the growing IoT paradigm and with flexible edge devices available, an ecosystem of a combination of resources, ranging from high density compute and storage to very lightweight embedded computers running on batteries or solar power, is available for DevOps teams from what is known as the Cloud Continuum. In this dynamic context, manageability is key, as well as controlled operations and resources monitoring for handling anomalies. Unfortunately, the operation and management of such heterogeneous computing environments (including edge, cloud and network services) is complex and operators face challenges such as the continuous optimization and autonomous (re-)deployment of context-aware stateless and stateful applications where, however, they must ensure service continuity while anticipating potential failures in the underlying infrastructure. In this paper, we propose a novel CloudOps workflow (extending the traditional DevOps pipeline), proposing techniques and methods for applications’ operators to fully embrace the possibilities of the Cloud Continuum. Our approach will support DevOps teams in the operationalization of the Cloud Continuum. Secondly, we provide an extensive explanation of the scope, possibilities and future of the CloudOps.es_ES
dc.description.sponsorshipThis research was funded by the European project PIACERE (Horizon 2020 Research and Innovation Programme, under grant agreement No. 101000162).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/101000162es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectDevOpses_ES
dc.subjectcloud continuumes_ES
dc.subjectdeploymentes_ES
dc.subjectmulti-cloudes_ES
dc.subjecthybrid-cloudes_ES
dc.subjectself-healinges_ES
dc.titleCloudOps: Towards the Operationalization of the Cloud Continuum: Concepts, Challenges and a Reference Frameworkes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2022-05-12T19:36:08Z
dc.rights.holder2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/12/9/4347/htmes_ES
dc.identifier.doi10.3390/app12094347
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería de comunicaciones
dc.departamentoeuKomunikazioen ingeniaritza


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2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).