Title: Scalable stateful stream processing for smart grids
Abstract: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 i...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.Read More
Publication Year: 2014
Publication Date: 2014-05-26
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 28
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