Softwaretechnik-Trends 35(3) - 2015

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Zeitschriftenartikel
Adaptive Application Performance Management for Big Data Stream Processing
(Softwaretechnik-Trends Band 35, Heft 3, 2015) Eichelberger, Holger; Qin, Cui; Schmid, Klaus; Niederée, Claudia
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 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.