AI 中文总结
研究聚焦云系统基于风险的可持续性设计，通过专家调查识别不同层面风险、缓解策略及影响因素，为利用RBD构建可持续云系统的人员提供帮助。
AI 中文摘要
云计算中云系统的可持续性至关重要，尤其是在许多行业需求不断增长的情况下。云计算中的可持续性风险可能很棘手，主要是由于系统复杂性及其对性能的影响。因此，本研究聚焦于基于风险的设计（RBD），以及它如何支持早期识别云系统可持续性的潜在风险，以及每种风险的相应缓解策略。为成功识别云系统可持续性风险，进行了一项专家调查，涵盖来自不同行业、不同角色的专家，以识别云系统在所有不同层面可能的可持续性风险。对回复的主题分析得出了风险分类，以及缓解策略和影响每种风险的因素。这些发现对构建可持续云系统时利用RBD的研究人员和从业者有帮助。
英文摘要
Cloud Systems' Sustainability is critical in Cloud Computing, especially with the growing demand in many industries. Sustainability risks in Cloud Computing can be tricky, mostly because of system complexity and their impact on performance. Thus, this research focuses on Risk-based design (RBD) and how it can support the early identification of possible risks for Cloud System Sustainability, as well as respective mitigation strategies of each risk. In order to successfully identify risks of Cloud System Sustainability, an Expert Survey is conducted including experts with different roles from different industries, to identify possible sustainability risks of a Cloud System on all different levels. Thematic analysis of the responses resulted in a categorization of risks, as well as in the identification of mitigation strategies and factors affecting each risk. Such findings can be helpful for researchers and practitioners that utilize RBD when building sustainable Cloud systems.
Comments6 pages, 3 figures, International Congress on Smart Agriculture and Sustainable Systems Engineering 2026
