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