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Encyclopedia of Database Systems pp 1–5Cite as

Event Driven Architecture

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Synonyms

Active databases; Event driven service-oriented architecture; Event processing systems; Sense and respond systems; Sensor network systems; Streaming database systems

Definitions

An event driven architecture is a software architecture for applications that detect and respond to events. An event is a significant change in the state of a system or its environment. The change may occur rapidly or slowly. The occurrence of an event in the past, or its current unfolding, or a prediction of an event in the future is deduced from data. An event-driven architecture includes sensors and other sources of data; processors that fuse data from multiple sensors and detect patterns over time, geographical locations, and other attributes and deduce events that occurred or predict events; responders for initiating actions in response to events; communication links for transferring information between components; and administrative software for monitoring, tailoring and managing the application.

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Recommended Reading

  1. Babcock B, Babu S, Datar M, Motwani R, Widom J. Models and issues in data streams. In: Proceedings of ACM SIGACT-SIGMOD Symposium on Principles of Database Systems; 2002.

    Google Scholar 

  2. Chandy KM, Charpentier M, Capponi A. Towards a theory of events. In: Proceedings of Inaugural International Conference on Distributed Event-based Systems; 2007. p. 180–7.

    Google Scholar 

  3. Deshpande A, Guestrin C, Madden SR, Hellerstein JM, Hong W. Model-driven data acquisition in sensor networks. In: Proceedings of 30th International Conference on Very Large Data Bases; 2004.

    Google Scholar 

  4. Etzion O. Semantic approach to event processing. In: Proceedings of Inaugural International Conference on Distributed Event-based Systems; 2007. p. 139.

    Google Scholar 

  5. Luckham D. The power of events: the power of complex event processing. Reading: Addison Wesley; 2002.

    Google Scholar 

  6. Muhl G, Fiege L, Pietzuch P. Distributed event based systems. Berlin: Springer; 2006.

    Google Scholar 

  7. Schulte R. The business impact of event processing: why mainstream companies will soon use a lot more EDA. In: Proceedings of IEEE Services Computing Workshop; 2006. p. 51.

    Google Scholar 

  8. Zhao F, Guibas L. Wireless sensor networks: an information processing approach. Los Altos: Morgan Kaufmann; 2004.

    Google Scholar 

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Author information

Authors and Affiliations

  1. California Institute of Technology, Pasadena, CA, USA

    K. Mani Chandy

Authors
  1. K. Mani Chandy
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Corresponding author

Correspondence to K. Mani Chandy .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. IBM Software Group, IBM Haifa Labs, Haifa University Campus, 34761, Haifa, Israel, Israel

    Opher Etzion

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© 2016 Springer Science+Business Media New York

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Chandy, K.M. (2016). Event Driven Architecture. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_570-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_570-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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