Scalable stateful stream processing for smart grids
Raul Castro Fernandez, Matthias Weidlich, Peter R. Pietzuch, Avigdor Gal · 2014
We describe a solution to the ACM DEBS Grand Challenge 2014, which evaluates event-based systems for smart grid analytics. Our solution follows the paradigm of stateful data stream processing and is implemented on top of the SEEP stream processing platform. It achieves high scalability by massive data-parallel processing and the option of performing semantic load-shedding. In addition, our solution is fault-tolerant, ensuring that the large processing state of stream operators is not lost after failure.