Eichelberger, HolgerQin, CuiSchmid, KlausNiederée, Claudia2023-03-132023-03-132015https://dl.gi.de/handle/20.500.12116/40770Big data applications with their high-volume and dynamically changing data streams impose new challenges to application performance management. Efficient and effective solutions must balance performance versus result precision and cope with dramatic changes in real-time load and needs without overprovisioning resources. Moreover, a developer should not be burdened too much with addressing performance management issues, so he can focus on the functional perspective of the system For addressing these challenges, we present a novel comprehensive approach, which combines software configuration, model-based development, application performance management and runtime adaptation.enAdaptive performance managementresource adaptationstream processingalgorithm familiesBig dataQualiMaster.Text/Journal Article0720-8928