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Event Cloud

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Encyclopedia of Database Systems
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Definition

Event Cloud is a partially ordered set of events (poset), either bounded or unbounded, where the partial orderings are imposed by the causal, timing and other relationships between the events [2].

Key Points

Event cloud [1] consists of a set of events and one or more partial order relations. The following event relations are being used:

  • Causality relation: Each collection of events can be considered as an event cloud, the causality relation creates a partial order relation among a collection of events, causality is transitive, anti-symmetric, and non-reflexive.

  • Precedes relation: defined as event e1 precedes event e2, if it occurs in e1 occurs in reality before event e2. This is a partially order set – since the relative timing may not be known, or may overlap, if occur during an interval.

Event cloud can be defined over the entire collection of events that flow through some system within a certain bounded or unbounded time [3, 4]. A special case of event cloud is all...

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Recommended Reading

  1. Luckham D. The power of events: an introduction to complex event processing in distributed enterprise systems. Boston: Addison-Wesley; 2002.

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  2. Luckham D, Shulte R, editors. EPTS event processing glossary version 1.1. http://complexevents.com/?p=409

  3. Rozsnyai S, Vecera R, Schiefer J, Schatten A. Event cloud – searching for correlated business events. In: Proceedings of the 9th IEEE International Conference on E-Commerce Technology & 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services; 2007. p. 409–20.

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  4. Widder A, von Ammon R, Schaeffer P, Wolff C. Identification of suspicious, unknown event patterns in an event cloud. In: Proceedings of the Inaugural International Conference on Distributed Event-based Systems; 2007. p. 164–70.

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Correspondence to Opher Etzion .

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© 2018 Springer Science+Business Media, LLC, part of Springer Nature

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Etzion, O. (2018). Event Cloud. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_591

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