Dynamic Patterns for Cloud Application Life-Cycle Management
dc.contributor.author | Horn, Geir | |
dc.contributor.author | Arrieta, Leire Orue Echevarria | |
dc.contributor.author | Di Martino, Beniamino | |
dc.contributor.author | Skrzypek, Paweł | |
dc.contributor.author | Kyriazis, Dimosthenis | |
dc.contributor.institution | Tecnalia Research & Innovation | |
dc.date.accessioned | 2024-07-24T11:55:01Z | |
dc.date.available | 2024-07-24T11:55:01Z | |
dc.date.issued | 2020 | |
dc.description | Publisher Copyright: © Springer Nature Switzerland AG 2020. | |
dc.description.abstract | Cloud applications are by nature dynamic and must react to variations in use, and evolve to adopt new Cloud services, and exploit new capabilities offered by Edge and Fog devices, or within data centers offering Graphics Processing Units (GPUs) or dedicated processors for Artificial Intelligence (AI). Our proposal is to alleviate this complexity by using patterns at all stages of the Cloud application life-cycle: Deployment, automatic service discovery, monitoring, and adaptive application evolution. The main idea of this paper is that it is possible to reduce the complexity of composing, deploying, and evolving Cross-Cloud applications using dynamic patterns. | en |
dc.description.sponsorship | This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 731664 MELODIC: Multi-cloud execution-ware for large-scale optimised data-intensive computing; and grant agreement No. 731533 DECIDE: Multicloud applications towards the digital single market. | |
dc.description.status | Peer reviewed | |
dc.format.extent | 12 | |
dc.identifier.citation | Horn , G , Arrieta , L O E , Di Martino , B , Skrzypek , P & Kyriazis , D 2020 , Dynamic Patterns for Cloud Application Life-Cycle Management . in Lecture Notes in Networks and Systems . Lecture Notes in Networks and Systems , vol. 96 , Springer , pp. 626-637 . https://doi.org/10.1007/978-3-030-33509-0_59 | |
dc.identifier.doi | 10.1007/978-3-030-33509-0_59 | |
dc.identifier.issn | 2367-3370 | |
dc.identifier.uri | https://hdl.handle.net/11556/2467 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85074720862&partnerID=8YFLogxK | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Lecture Notes in Networks and Systems | |
dc.relation.ispartofseries | Lecture Notes in Networks and Systems | |
dc.relation.projectID | Horizon 2020 Framework Programme, H2020, 731664-731533 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | Control and Systems Engineering | |
dc.subject.keywords | Signal Processing | |
dc.subject.keywords | Computer Networks and Communications | |
dc.title | Dynamic Patterns for Cloud Application Life-Cycle Management | en |
dc.type | book part |