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- W2000877584 abstract "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." @default.
- W2000877584 created "2016-06-24" @default.
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- W2000877584 date "2013-05-01" @default.
- W2000877584 modified "2023-09-22" @default.
- W2000877584 title "Event processing with dynamically changing focus: Doctoral consortium paper" @default.
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- W2000877584 doi "https://doi.org/10.1109/rcis.2013.6577727" @default.
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