SECRET: a model for analysis of the execution semantics of stream processing systems. In IEEE Data Engineering Bulletin, 31(1), pages 28-35, 2008. Towards automatic test database generation. Odysseus: a highly customizable framework for creating efficient event stream management systems. The resulting dynamic CEP infrastructure not only makes existing applications more powerful and easier to maintain but also enables novel application domains. This leads to multiple changes in the infrastructure that raise interesting and challenging research questions. In this paper, we motivate substantial improvements of CEP technology by making the behavior of the infrastructure dynamic and by switching the detection paradigm from signatures to anomalies. Many application domains are still hard to target by CEP, because state of the art CEP technology is characterized by a static behavior and by a signature-based detection paradigm. Common CEP applications are for example stock-market analysis, detection of fraudulent credit card use, traffic monitoring and consumption forecasting in power grids. CEP is powerful, effective, easy to use and low in costs at the same time.

During the last decade, complex event processing (CEP) has emerged as a technological foundation for many time-critical monitoring applications.

What is anomaly in database