RT Book, Section
T1 Dynamic Patterns for Cloud Application Life-Cycle Management
A1 Horn, Geir
A1 Arrieta, Leire Orue Echevarria
A1 Di Martino, Beniamino
A1 Skrzypek, Paweł
A1 Kyriazis, Dimosthenis
AB 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.
PB Springer
SN 2367-3370
YR 2020
FD 2020
LK https://hdl.handle.net/11556/2467
UL https://hdl.handle.net/11556/2467
LA eng
NO 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
NO Publisher Copyright: © Springer Nature Switzerland AG 2020.
NO 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.
DS TECNALIA Publications
RD 29 jul 2024