Complex Event Processing has been a growing field for the last ten years. It has seen the development of a number of methods and tools to aid in the processing of event streams and clouds though it has also been troubled by the lack of a cohesive definition. This paper aims to layout the technologies surrounding CEP and to distinguish it from the closely related field of Event Stream Processing. It also aims to explore the work done to apply Data Mining Techniques to both of these fields. An outline of stream processing technologies is laid out including the Data Stream Mining techniques that have been adapted for CEP.
<i>This is about the overall functionality and complexity (size) of the open source event stream processing system or
StreamEPS for short. The elements of the platform will be functional if the design follows application interfaces as described in this work. The engine architecture details the overall functionality in terms of engine core, engine context, engine processing and of itself.</i>
An Architectural Guide and Design of StreamEPS