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cs.DC2026
BlobShuffle: Cost-Effective Repartitioning in Stream Processing Systems via Object Storage Exemplified with Kafka Streams
Sören Henning, Otmar Ertl, Adriano Vogel
Shuffling or repartitioning data streams is an essential operation of state-of-the-art stream processing frameworks to support stateful workloads in a large-scale, distributed sett…
cs.DB2026
FluxSieve: Unifying Streaming and Analytical Data Planes for Scalable Cloud Observability
Adriano Vogel, Sören Henning, Otmar Ertl
Despite many advances in query optimization, indexing techniques, and data storage, modern data platforms still face difficulties in delivering robust query performance under high…