QoS-aware adaptation for complex event service

Smart City applications often use event processing techniques to detect coarse-grained events and situations from fine-grained events of the physical and social world. They operate in dynamic environments in which the properties of underlying resources and streams need to be constantly updated according to changes and events in the real world (e.g. sensor readings, network availability, weather conditions, and temperature). In most of the existing solutions matchmaking between the requirements expressed by event consumers and available event providers is carried out at design-time. This approach is often far from optimal and its deficiencies become even more obvious in smart city scenarios due to their inherently dynamic stream properties. In this paper we discuss a solution for quality-aware adaptive complex event processing using a service-oriented approach. We detail the automatic adaption strategies and evaluate them in a smart city scenario with both real and synthesised datasets.