Rank, JohannesHein, AndreasKrcmar, HelmutHerrmann, Andrea2024-02-222024-02-2220230720-8928https://dl.gi.de/handle/20.500.12116/43637Stream processing systems (SPS) are becoming more frequent due to current trends such as Industry 4.0 or the Internet of Things. These systems’ performance is particularly important, as their timely processing is a crucial capability. At the same time, these systems are often combined with novel machine learning approaches (steaming analytics) that have high performance demands. This combination poses potential challenges for performance management. In this paper, we have conducted expert interviews in the industry to identify performance challenges in streaming analytics implementations and to derive future research directions to address them. Our analysis shows that while the experts had different opinions on the role of performance in project management, they agreed on five common challenges.enperformancestream processingsurveyText/Conference Paper