The policy-based management paradigm in a flexible manner governs the system behavior. For Cloud-native applications, additionally, it simplifies the compliance with CI/CD objectives. Hence, the velocity of changes in requirements made at runtime does not influence the system implementation. Continuously the adjustments are integrated into the system on the fly. This paper evaluates the rule-based approach to representing policies in the context of Cloud-native applications. Deploying applications in orchestrated environments is one of the main principles of Cloud-native. Our approach represents the extension of the management characteristics that are available in current implementations of the orchestrators. The presented study also shows a general methodology for experimental evaluation of complex Cloud-native environments. We propose two categories of experiments. Both evaluate the rule-based approach. The first category evaluates the impacts of dynamic adjustment of resources in the context of the Cloud-native execution environment. The second category assesses the influence of the rule engine approach on the autonomic management process. Given the wide range of available experiments, we additionally assume that evaluation is performed from the point of view of the execution environment's resources. This approach tightly embraces the capabilities of the proposed solution realized by the AMoCNA system and demonstrates its usability.

中文翻译：

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云原生应用程序基于规则的自主计算管理框架的实验评估


基于策略的管理范式以灵活的方式治理系统行为。此外，对于云原生应用程序，它还简化了 CI/CD 目标的合规性。因此，运行时需求的变化速度不会影响系统的实现。不断地将调整动态集成到系统中。本文评估了在云原生应用程序环境中表示策略的基于规则的方法。在编排环境中部署应用程序是云原生的主要原则之一。我们的方法代表了协调器当前实现中可用的管理特征的扩展。本研究还展示了复杂云原生环境实验评估的通用方法。我们提出两类实验。两者都评估基于规则的方法。第一类评估云原生执行环境中资源动态调整的影响。第二类评估规则引擎方法对自主管理过程的影响。鉴于可用实验的范围广泛，我们还假设评估是从执行环境资源的角度进行的。这种方法紧密结合了 AMoCNA 系统所实现的拟议解决方案的功能，并展示了其可用性。