Abstract
For a number of stream applications, synergistic integration of stream as well as event processing is becoming a necessity. However, the relationship between windows and consumption modes has not been studied in the literature. A clear understanding of this relationship is important for integrating the two synergistically as well as detecting meaningful complex events using events generated by a stream processing system. In this paper, we analyze the notion of windows introduced for stream processing and the notion of consumption modes introduced for event processing. Based on the analysis, this paper proposes several approaches for combining the two and investigates their ramifications. We present conclusions based on our analysis and an integrated architecture that currently supports one of the reconciled approaches.
This work was supported, in part, by the NSF grant IIS 0534611. This work was supported, in part, by IU South Bend Research Grant.
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Adaikkalavan, R., Chakravarthy, S. (2011). Seamless Event and Data Stream Processing: Reconciling Windows and Consumption Modes. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20149-3_26
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