Horn, GeirArrieta, Leire Orue EchevarriaDi Martino, BeniaminoSkrzypek, PawełKyriazis, Dimosthenis2024-07-242024-07-242020Horn , 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_592367-3370https://hdl.handle.net/11556/2467Publisher Copyright: © Springer Nature Switzerland AG 2020.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.12enginfo:eu-repo/semantics/restrictedAccessbook part10.1007/978-3-030-33509-0_59Control and Systems EngineeringSignal ProcessingComputer Networks and Communicationshttp://www.scopus.com/inward/record.url?scp=85074720862&partnerID=8YFLogxK