Event processing with dynamically changing focus: Doctoral consortium paper

Event Processing technologies are likely to play an increasingly important role in future IT systems due to the increasing demand for on-line analytical systems as well as big data processing applications. Event Processing is particularly suitable for those applications due to its active processing approach combined with scalability. Today´s approaches for achieving scalability are however focused on rather static event stream partitioning mechanisms to allow parallelization. Such approaches are well suited as long as a feasible partitioning for all processing tasks can be found. However when such a scaling mechanism is faced with processing tasks with dynamically changing focus areas, no effective pre-determined partitioning can be found which massively hampers with the required scalability. This paper presents the first steps towards a focused processing framework to overcome these limitations.