Dynamic Patterns for Cloud Application Life-Cycle Management

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URI: https://hdl.handle.net/11556/2467
ISSN: 2367-3370
DOI: 10.1007/978-3-030-33509-0_59
Publication date
2020
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Springer
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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.
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Publisher Copyright: © Springer Nature Switzerland AG 2020.
Keywords
Control and Systems Engineering , Signal Processing , Computer Networks and Communications
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book part
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