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Event Sink

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Event consumer


An entity that receive events from other entities [1].

Key Points

Event sink are nodes in the edge of the event processing network (receiving only) that receive events from the event processing network, event sinks are typically of two types:

  1. 1.

    Orchestration event Sink: receives an event from the event processing network and determines what action should be triggered (e.g., ECA rule) [2]. An action can be – database update, activating a software module, activating/modifying/terminating a workflow instance [3].

  2. 2.

    Notification event sink: receives the event from an event processing network and sends it to a consumer – a person or a dashboard [4].

Note: the action that is triggered by the event sink may be an event source and emit events to the same event processing network or to another event processing network, this will be reflected in the event causality and event lineage.



  • Sink Effect
  • Event Processing Network
  • Workflow Instance
  • Line Effects
  • Database Updates

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Recommended Reading

  1. Luckham D, Schulte D. editors. EPTS event processing glossary version 1.1.

  2. Lin Chen, Minglu Li, Jian Cao, Yi Wang. An ECA rule-based workflow design tool for Shanghai Grid. In: IEEE SCC; 2005. p. 325–28.

    Google Scholar 

  3. Lin D, Sheng H, Ishida T. Interorganizational workflow execution based on process agents and ECA rules. IEICE Trans. 2007;90(9):1335–42.

    CrossRef  Google Scholar 

  4. Ruby CL, Green ML, Miller R. The operations dashboard: a collaborative environment for monitoring virtual organization-specific compute element operational status. Parallel Process Lett. 2006;16(4):485–500.

    MathSciNet  CrossRef  Google Scholar 

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Correspondence to Opher Etzion .

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© 2016 Springer Science+Business Media New York

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Etzion, O. (2016). Event Sink. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY.

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  • Online ISBN: 978-1-4899-7993-3

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