Parallel processing data streams in complex event processing systems
Fuyuan Xiao, Cheng Zhan, Hong Feng Lai, Li Tao · 2017
For distributed complex event processing systems, handling high volume and continuous data streams with high throughput are required for further decision support. Due to the specific properties of pattern operators, it is difficult to process the data streams in parallel over complex event processing systems. To address the issue, a novel parallel processing strategy is proposed. The proposed method can keep the complex event processing system working stably and continuously via the elapsed time. Finally, the utility of our work is demonstrated through the experiments on the StreamBase system.