In-depth analysis of Kubernetes manifest verification tools for robust CNF deployment
In: ICIN 2024 - Conference on Innovation in Clouds, Internet and Networks ; https://inria.hal.science/hal-04421758 ; ICIN 2024 - Conference on Innovation in Clouds, 2024
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Zugriff:
International audience ; Kubernetes has emerged as the leading platform for orchestrating cloud-native network functions (CNF). The description of the hardware and software architecture of systems to be deployed with Kubernetes is defined in configuration files called manifests. In order to address the errors that these manifests may contain, manifest verification tools have been developed. However, evaluating and selecting the most appropriate verification tool for a given project is a difficult task. To facilitate this evaluation process, we identified and characterized the most relevant verification capabilities, useful also in the CNF context. The selected capabilities serve as criteria for the evaluation of manifest verification tools. In total, we have identified 13 criteria, like the variety of verification types or the ability to carry out JSON Schema-based verification. The identified criteria were used to evaluate 16 of the most commonly used verification tools in the Kubernetes community. This evaluation revealed several shortcomings in the existing tools.
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In-depth analysis of Kubernetes manifest verification tools for robust CNF deployment
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Autor/in / Beteiligte Person: | Diarra, Boubacar ; Guillouard, Karine ; Ouzzif, Meryem ; Merle, Philippe ; Stefani, Jean-Bernard ; Innovation, Orange ; Self-adaptation for distributed services and large software systems (SPIRALS) ; Inria Lille - Nord Europe ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL) ; Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS) ; Sound Programming of Adaptive Dependable Embedded Systems (SPADES) ; Inria Grenoble - Rhône-Alpes ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG) ; Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) ; Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) ; Université Grenoble Alpes (UGA) ; Thèse Boubacar Diarra ; DNAC |
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Zeitschrift: | ICIN 2024 - Conference on Innovation in Clouds, Internet and Networks ; https://inria.hal.science/hal-04421758 ; ICIN 2024 - Conference on Innovation in Clouds, 2024 |
Veröffentlichung: | HAL CCSD, 2024 |
Medientyp: | Konferenz |
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