Complex Event Processing in ThingML

Complex Event Processing (CEP) is concerned with real-time 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 characteristic and performance of the ThingML Extension while processing CEP queries. Experiments show that although ThingML does not outperform other well-known CEP engines, it is still a potential CEP solution for CPS which has limited physical resources. In addition, ThingML also shows its efficiency in term of language expressiveness in comparison with State Machine based CEP queries.