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The CloudScale Method


This chapter details the CloudScale method. We describe its high-level process with the most important steps. We look more closely at the CloudScale method from Sect. 2.1 and detail it with respect to the developer roles executing it. We also introduce the two major method use cases. Method use case I is about analyzing a modeled system; method use case II deals with analyzing and migrating an implemented system. All discussions in this chapter are guided by the granularity of the analysis you want to perform, hence; this chapter also introduces granularity as a key concept and discusses how to find the right one.

As granularity is important for all steps of the CloudScale method, it is introduced in Sect. 5.2. As a second basis, our graphical notation is described in Sect. 5.3. The method description starts with an introduction into the CloudScale method roles in Sect. 5.4. As a core section in this chapter, Sect. 5.5 gives a detailed overall overview on the CloudScale method. Afterward, the following sections give details on all method steps: Sect. 5.6 outlines how to identify service-level objectives (SLOs), critical use cases, and their associated key scenarios from business needs; Sect. 5.7 then describes how to transform the SLOs and critical use cases into scalability, elasticity, and cost-efficiency requirements. Afterward, the two main use cases of the CloudScale method are introduced: Sect. 5.8 outlines how to use models to analyze a system’s properties, while Sect. 5.9 sketches how to analyze implemented and executable systems. Finally, Sect. 5.10 briefly describes how to realize and operate the system.


Academic chapter/article/Conference paper


  • Research Council of Norway (RCN) / 256669





  • SINTEF Digital / Software Engineering, Safety and Security
  • University of Stuttgart






Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications: The CloudScale Method




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