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MA: Anomaly Detection for AIOps

The CIT research group develops AI-based solutions for DevOps over the past years. This topic focusses on the evaluation of currently available anomaly detection solutions applied on resource metric data (cpu, mem, net-io etc.) of cloud-servers. Within this thesis, anomaly detection services from Azure, Bosch, Yahoo etc. have to be integrated into an AIOps platform and evaluated.

Prerequisites for working on this topic are advanced knowledge in algorithmic design, docker and very good and provable programming skills in Java, Python or Go.



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Florian Schmidt
+49 30 314 28306
Room TEL 1205