In the greenhouse environment, application of complex event processing (CEP) technology can effectively tackle problem recognition patterns that appeared in conditions. existing research, few scholars have proposed a scheme to integrate complicated scenes within environment with high efficiency, convenience, and low coupling. Therefore, order solve hard fusion based on characteristics greenhous...

Many problems in Computer Science can be framed as the computation of queries over sequences, or “streams” of data units called events. The field of Complex Event Processing (CEP) relates to the techniques and tools developed to efficiently process these queries. However, most CEP systems developed so far have concentrated on relatively narrow types of queries, which consist of sliding windows,...

Complex Event Processing (CEP) is concerned with realtime detection of complex events within multiple streams of atomic occurrences. Numerous approaches in CEP have been already proposed in the literature. In this paper, we examine the CEP Extension of ThingML which is a cross-platform modeling language for deploying Cyber Physical System (CPS). In particular, we focus on both language characte...

Automatic reactions triggered by complex events have been deployed with great success in particular domains, among others, in algorithmic trading, the automatic reaction to realtime analysis of marked data. However, to date, reactions in complex event processing systems are often still limited to mere modifications of internal databases or are realized by means similar to remote procedure calls...

Complex Event Processing (CEP) has emerged as the unifying field for technologies that require processing and correlating heterogeneous distributed data sources in real-time. CEP finds applications in diverse domains, which has resulted in a large number of proposals for expressing and processing complex events. However, existing CEP frameworks are based on ad-hoc solutions that do not rely on ...

As mentioned in the previous chapters, pervasive systems demand for continuous processing of information collected from multiple sources deployed in the environment under analysis. Often, a large portion of such information encodes notifications of events occurred within the pervasive system or in the environment where it operates. In such cases, the goal of the processing step is to detect sit...