Performance Engineering for Evolving Software Systems in Elastic Environments

新兴的云技术保证了软件系统的经济高效运行，理论上具有无限的可扩展性。此外，平台即服务（PaaS）解决方案可以通过将与供应和操作相关的任务转移给PaaS提供者来减少开发工作。虽然软件系统的体系结构（仍然）决定了它的可伸缩性和性能，但底层技术堆栈的复杂性和透明性使得软件架构师很难（甚至不可能）评估单个设计决策的含义。在提议的转移项目的范围内，我们扩展了我们以前的工作，Palladio组件模型（PCM），以评估软件系统在新的，高度相关的环境中的可伸缩性。此外，我们计划大大简化SPE的应用，使PCM与软件开发过程保持一致。为了评估我们的方法在实践中的适用性，我们计划对SAP开发人员、研究人员和学生进行控制实验。

Emerging cloud technologies promise the cost-efficient operation of software systems with theoretically unlimited scalability. Additionally, Platform as a Service (PaaS) solutions can reduce development efforts by shifting tasks related to provisioning and operation to PaaS providers. While the architecture of a software system (still) determines its scalability and performance, the complexity and transparency of the underlying technology stack make it hard (or even impossible) for software architects to assess the implications of individual design decisions. In the scope of the proposed transfer project, we extend our previous work, the Palladio Component Model (PCM), to evaluate the scalability of software systems in a new, highly relevant context. Furthermore, we plan to significantly simplify the application of SPE aligning the PCM with software development processes. To assess the applicability of our approach in practice, we plan to conduct a controlled experiment with SAP developers, researchers, and students.