Major Extension of the EDBT 2019 Best Paper Accepted for Publication in TODS
Major Extension of the EDBT 2019 Best Paper by TU Berlin and DFKI Researchers Accepted for Publication in TODS
The paper “Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems” by J. Traub, P. M. Grulich, A. R. Cuéllar, S. Breß, A. Katsifodimos, T. Rabl, and V. Markl was accepted for publication at ACM Transactions on Database Systems (TODS).
This extended journal paper is a major extension of the EDBT best paper titled Efficient “Window Aggregation with General Stream Slicing” from 2019 by the same authors from the Database Systems and Information Management (DIMA) group at TU Berlin and the Intelligent Analytics for Massive Data (IAM) group at DFKI. Among other extensions, the new journal paper was extended with detailed algorithm specifications, API-examples, and examples for using Scotty in different streaming systems.