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ChronoSphere: a graph-based EMF model repository for IT landscape models

机译:ChronoSphere:用于IT景观模型的基于图的EMF模型存储库

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摘要

IT Landscape models are representing the real-world IT infrastructure of a company. They include hardware assets such as physical servers and storage media, as well as virtual components like clusters, virtual machines and applications. These models are a critical source of information in numerous tasks, including planning, error detection and impact analysis. The responsible stakeholders often struggle to keep such a large and densely connected model up-to-date due to its inherent size and complexity, as well as due to the lack of proper tool support. Even though modeling techniques are very suitable for this domain, existing tools do not offer the required features, scalability or flexibility. In order to solve these challenges and meet the requirements that arise from this application domain, we combine domain-driven modeling concepts with scalable graph-based repository technology and a custom language for model-level queries. We analyze in detail how we synthesized these requirements from the application domain and how they relate to the features of our repository. We discuss the architecture of our solution which comprises the entire data management stack, including transactions, queries, versioned persistence and metamodel evolution. Finally, we evaluate our approach in a case study where our open-source repository implementation is employed in a production environment in an industrial context, as well as in a comparative benchmark with an existing state-of-the-art solution.
机译:IT景观模型代表了公司的真实IT基础架构。它们包括硬件资产(例如物理服务器和存储介质)以及虚拟组件(例如群集,虚拟机和应用程序)。这些模型是许多任务(包括计划,错误检测和影响分析)中的重要信息源。负责任的利益相关者常常由于其固有的规模和复杂性以及缺乏适当的工具支持而常常难以保持如此庞大且紧密连接的模型。即使建模技术非常适合该领域,现有工具也无法提供所需的功能,可伸缩性或灵活性。为了解决这些挑战并满足此应用程序域提出的要求,我们将域驱动的建模概念与可伸缩的基于图的存储库技术和用于模型级查询的自定义语言相结合。我们详细分析了我们如何从应用程序领域综合这些要求以及它们如何与我们的存储库功能相关联。我们讨论了我们的解决方案的体系结构,该体系结构包括整个数据管理堆栈,包括事务,查询,版本持久性和元模型演化。最后,我们在一个案例研究中评估我们的方法,该案例将我们的开源存储库实现用于工业环境中的生产环境中,以及在具有现有最新解决方案的比较基准中。

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