details for the publication
@article {EichelbergerQinSchmid+15,
author={Holger Eichelberger and Cui Qin and Klaus Schmid and Claudia Niederée},
title={Adaptive Application Performance Management for Big Data Stream Processing},
journal={Softwaretechnik-Trends},
number={3},
volume={35},
year={2015},
pages={35-37},
abstract={Big 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 over-provisioning 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.}
}
