Scholarlink

<p>The Cloud-native paradigm enhances Twelve Factor patterns for current application design. It assumes leveraging Cloud Computing (CC) model. Cloud-native development aligns with DevOps concepts, Continuous Integration/Continuous Delivery (CI/CD) practices, containerization, and microservice architecture. Due to the necessity of meeting so many requirements, Cloud-native paradigm poses significant engineering challenges. The following research was inspired by the Autonomic Management of Cloud-Native Applications (AMoCNA) framework, which addresses the challenges of executing management actions in complex Cloud-native environments. The framework enables the autonomic execution of these actions and supports rule-based management in such environments. This paper focuses on the rule-based execution of management actions. The result of the research is the concept of a rule-based Action Adapter. We discuss its functionality, as well as architecture and operations. To evaluate the concepts, we demonstrate scenarios which reflect a possible real-world use cases. The positive results obtained are then utilized to draw conclusions and establish the course of future research.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Rule-based execution of management actions in Cloud-native environments

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月11日

查看全文
  • Joanna Kosińska,
  • Przemysław Roman,
  • Paweł Gorgolewski,
  • Paweł Pycia

摘要

The Cloud-native paradigm enhances Twelve Factor patterns for current application design. It assumes leveraging Cloud Computing (CC) model. Cloud-native development aligns with DevOps concepts, Continuous Integration/Continuous Delivery (CI/CD) practices, containerization, and microservice architecture. Due to the necessity of meeting so many requirements, Cloud-native paradigm poses significant engineering challenges. The following research was inspired by the Autonomic Management of Cloud-Native Applications (AMoCNA) framework, which addresses the challenges of executing management actions in complex Cloud-native environments. The framework enables the autonomic execution of these actions and supports rule-based management in such environments. This paper focuses on the rule-based execution of management actions. The result of the research is the concept of a rule-based Action Adapter. We discuss its functionality, as well as architecture and operations. To evaluate the concepts, we demonstrate scenarios which reflect a possible real-world use cases. The positive results obtained are then utilized to draw conclusions and establish the course of future research.