在模式中获取云计算知识和经验

Christoph Fehling, Thilo Ewald, F. Leymann, Michael Pauly, Jochen Rütschlin, D. Schumm
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引用次数: 36

摘要

行业驱动的云计算发展往往会混淆云产品的常见底层架构概念及其对托管应用程序的影响。模式是记录此类体系结构原则的一种方法,可以使反复出现的(体系结构)云挑战的良好解决方案可重用。为了从现有的云应用程序和特定于提供商的文档中获取云计算最佳实践,我们建议使用一种精心设计的模式格式,以便在各种用例中实现概念抽象和知识的可重用性。我们提供了一个由模式创作工具包支持的详细的逐步模式识别过程。我们不断地应用这个过程来识别大量的云模式。在本文中,我们介绍了最近在工业场景中发现的两种新的云模式。该方法的目标是让云架构师、开发人员和研究人员也同样应用此模式识别过程,在他们各自的专业领域中创建可跟踪且结构良好的知识片段。作为切入点,我们将回顾云计算在各个领域带来的挑战。
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Capturing Cloud Computing Knowledge and Experience in Patterns
The industry-driven evolution of cloud computing tends to obfuscate the common underlying architectural concepts of cloud offerings and their implications on hosted applications. Patterns are one way to document such architectural principles and to make good solutions to reoccurring (architectural) cloud challenges reusable. To capture cloud computing best practice from existing cloud applications and provider-specific documentation, we propose to use an elaborated pattern format enabling abstraction of concepts and reusability of knowledge in various use cases. We present a detailed step-by-step pattern identification process supported by a pattern authoring toolkit. We continuously apply this process to identify a large set of cloud patterns. In this paper, we introduce two new cloud patterns we identified in industrial scenarios recently. The approach aims at cloud architects, developers, and researchers alike to also apply this pattern identification process to create traceable and well-structured pieces of knowledge in their individual field of expertise. As entry point, we recap challenges introduced by cloud computing in various domains.
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