The aim of the MSc thesis is to investigate popular streaming frameworks (Apache Spark, Apache Flink, Apache Kafka) and their applicability on streaming conformance checking methods, especially with regards to out-of-order event arrivals, in the context of distributed systems (e.g., IoT devices).
Expected skills: Python, SQL, data engineering
Benefits: Learning about state-of-the-art streaming frameworks (Spark, Flink, Kafka)

Contact Information:

Kristo Raun

Kristo [dot] Raun [at] ut [dot] ee