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Modelling service-oriented systems and cloud services with Heraklit
arXiv - CS - Databases Pub Date : 2020-09-29 , DOI: arxiv-2009.14040
Peter Fettke and Wolfgang Reisig

Modern and next generation digital infrastructures are technically based on service oriented structures, cloud services, and other architectures that compose large systems from smaller subsystems. The composition of subsystems is particularly challenging, as the subsystems themselves may be represented in different languages, modelling methods, etc. It is quite challenging to precisely conceive, understand, and represent this kind of technology, in particular for a given level of abstraction. To capture refinement and abstraction principles, various forms of "technology stacks" and other semi-formal or natural language based on presentations have been suggested. Generally, useful concepts to compose such systems in a systematic way are even more rare. Heraklit provides means, principles, and unifying techniques to model and to analyze digital infrastructures. Heraklit integrates composition and hierarchies of subsystems, concrete and abstract data structures, as well as descriptions of behaviour. A distinguished set of means supports the modeler to express their ideas. The modeller is free to choose the level of abstraction, as well as the kind of composition. Heraklit integrates new concepts with tried and tested ones. Such a framework provides the foundation for a comprehensive Systems Mining as the next step after Process Mining.

中文翻译:

使用 Heraklit 为面向服务的系统和云服务建模

现代和下一代数字基础设施在技术上基于面向服务的结构、云服务和其他架构,这些架构由较小的子系统组成大型系统。子系统的组合尤其具有挑战性,因为子系统本身可能用不同的语言、建模方法等来表示。精确地构思、理解和表示这种技术非常具有挑战性,特别是对于给定的抽象级别。为了捕捉细化和抽象原则,已经提出了各种形式的“技术堆栈”和其他基于演示的半正式或自然语言。通常,以系统方式组成此类系统的有用概念甚至更为罕见。赫拉克利特提供手段、原则、以及统一建模和分析数字基础设施的技术。Heraklit 集成了子系统的组成和层次结构、具体和抽象的数据结构以及行为描述。一组独特的方法支持建模者表达他们的想法。建模者可以自由选择抽象级别以及组合类型。Heraklit 将新概念与久经考验的概念相结合。这样的框架为作为流程挖掘之后的下一步的综合系统挖掘提供了基础。以及构成的种类。Heraklit 将新概念与久经考验的概念相结合。这样的框架为作为流程挖掘之后的下一步的综合系统挖掘提供了基础。以及构成的种类。Heraklit 将新概念与久经考验的概念相结合。这样的框架为作为流程挖掘之后的下一步的综合系统挖掘提供了基础。
更新日期:2020-09-30
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