Event specification in an active object-oriented database
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Distributed complex event processing with query rewriting
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Towards expressive publish/subscribe systems
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Elastic complex event processing
Proceedings of the 8th Middleware Doctoral Symposium
| Hi-index | 0.00 |
Continuous streams of event data are generated in many application domains including financial trading, fraud detection, website analytics and system monitoring. An open challenge in data management is how to analyse and react to large volumes of event data in real-time. As centralised event processing systems reach their computational limits, we need a new class of event processing systems that support deployments at the scale of thousands of machines in a cloud computing setting. In this poster we present SEEP, a novel architecture for event processing that can scale to a large number of machines and is elastic in order to adapt dynamically to workload changes.