Adaptive Application Performance Management for Big Data Stream Processing

, , , and . Softwaretechnik-Trends 35 (3): 35-37 (November 2015)


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.


Special part: Proceedings of the Symposium on Software Performance (SSP) 2015, 4.-6. November, 2015, Munich, Germany

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