Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Event Stream

  • Opher EtzionEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_590


Event pipe; Event network edge


An Event Stream is a collection of ordered events [4].

Key Points

An event stream is a collection of events, with one or more order relations. The naïve order relation is according to the time that the event arrives to the processing system, but this may not reflect the event order in reality [2], which may define an additional order relation. An event stream may be homogenous (all events have the same structure and type) or heterogeneous (include events that have different types). Homogenous streams are also known as Data-Type Streams. For practical usages, typically data-type streams are used. An edge in the event processing network, known as event pipe typically is a superset of event stream [5].

Sometimes event stream is used as a synonym to event pipe. This term has some relation to “data stream,” but it is not identical [1], and does not necessarily correspond to SQL implementation. A typical case of event stream is a...

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Recommended Reading

  1. 1.
    Albers K, Bodmann F, Slomka F. Hierarchical event streams and event dependency graphs: a new computational model for embedded real-time systems. In: Proceedings of the 18th Euromicro Conference on Real-Time Systems; 2006. p. 97–106.Google Scholar
  2. 2.
    Barga RS, Goldstein J, Ali MH, Hong M. Consistent streaming through time: a vision for event stream processing. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research; 2007. p. 363–74.Google Scholar
  3. 3.
    Li M, Liu M, Rundensteiner EA, Mani M. Event stream processing with out-of-order data arrival. In: Proceedings of the 1st International Workshop on Distributed Event Processing, Systems and Applications; 2007.Google Scholar
  4. 4.
    Luckham D, Schulte D, editors. EPTS event processing glossary version 1.1. http://complexevents.com/?p=409
  5. 5.
    Sharon G, Etzion O. Event processing network: model and implementation. IBM Syst J. 2008;47(2):321–34.CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.IBM Software GroupIBM Haifa Labs, Haifa University CampusHaifaIsrael

Section editors and affiliations

  • Opher Etzion
    • 1
  1. 1.IBM Software GroupIBM Haifa LabsHaifaIsrael