Definition
Models and algorithms that support a stream of events that may demonstrate uncertainty in event occurrence, as well as in values assigned to events in a stream.
Overview
Many contemporary applications depend on the ability to monitor efficiently streams of events (e.g., application messages or business events) to detect and react in a timely manner to situations. Some events are generated exogenously by devices such as sensors and flow across distributed systems. Other events (and their content) are inferred by complex event processing (CEP) systems. The first generation of CEP systems was built as stand-alone prototypes or as extensions of existing database engines. These systems were diversified into products with various approaches toward event processing, including stream-oriented, rule-oriented, imperative, and publish-subscribe paradigms. Common to all of these approaches is the assumption that received events have occurred and that the CEP system is complete. In other...
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Gal, A., Rivetti, N. (2018). Uncertainty in Streams. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_332-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_332-1
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63962-8
Online ISBN: 978-3-319-63962-8
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Chapter history
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Latest
Uncertainty in Streams- Published:
- 15 June 2022
DOI: https://doi.org/10.1007/978-3-319-63962-8_332-2
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Original
Uncertainty in Streams- Published:
- 18 April 2018
DOI: https://doi.org/10.1007/978-3-319-63962-8_332-1