Abstract
In recent years, there has been an increased need for the use of active systems – systems that include substantial processing which should be triggered by events. In many cases, however, there is an information gap between the actual occurrences of events to which such a system must respond, and the data generated by monitoring tools regarding these events. For example, some events, by their very nature, may not be signaled by any monitoring tools, or the inaccuracy of monitoring tools may incorrectly reflect the information associated with events. The result is that in many cases, there is uncertainty in the active system associated with event occurrence. In this paper, we provide a taxonomy of the sources of this uncertainty. Furthermore, we provide a formal way to represent this uncertainty, which is the first step towards addressing the aforementioned information gap.
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© 2006 Springer-Verlag Berlin Heidelberg
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Wasserkrug, S., Gal, A., Etzion, O. (2006). A Taxonomy and Representation of Sources of Uncertainty in Active Systems. In: Etzion, O., Kuflik, T., Motro, A. (eds) Next Generation Information Technologies and Systems. NGITS 2006. Lecture Notes in Computer Science, vol 4032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780991_16
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DOI: https://doi.org/10.1007/11780991_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35472-7
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