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Auditable & Reproducible Stream Processing with Blockchain Technologies


Prof. Dr. Christof Schütte, Dr. Florian Schintke, Prof. Dr. Tim Conrad

In this agility project, we aim to improve the reproducibility and traceability of data-intensive research applications that handle dynamic, unbounded data streams. We explore the use of blockchain technology to achieve auditable and reproducible data stream processing, involving the design of efficient data structures and operations on blockchains and other storage technologies. In contrast to static, closed data objects, we have to make the results of a continuous data analysis on data streams credible and auditable dynamically up to moving points in time.