Eric Schmieders

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Cloud providers as well as cloud customers are obliged to comply with privacy regulations. In particular, these regulations prescribe compliance to geo-location policies that define at which geographical locations personal data may be stored or processed. However, cloud elasticity dynamically adapts computing resources to workload changes by replicating and(More)
Run-time models have been proven beneficial in the past for predicting upcoming quality flaws in cloud applications. Observation approaches relate measurements to executed code whereas prediction models oriented towards design components are commonly applied to reflect reconfigurations in the cloud. Levels of abstraction differ between code observations and(More)
Providing applications in stipulated qualities is a challenging task in today's cloud environments. The dynamic nature of the cloud requires special runtime models that reflect changes in the application structure and their deployment. These runtime models are used to forecast the application performance in order to carry out mitiga-tive actions(More)
—Predictive business process monitoring aims at forecasting potential problems during process execution before they occur so that these problems can be handled proactively. Several predictive monitoring techniques have been proposed in the past. However, so far those prediction techniques have been assessed only independently from each other, making it hard(More)