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Stream Processing

  • Reference work entry
Encyclopedia of Database Systems

Synonyms

Complex event processing (CEP); Event stream processing (ESP); Data stream processing

Definition

Stream processing refers to a class of software systems that deals with processing streams of high volume messages with very low latency. It is distinguished from business activity monitoring (BAM) or business process monitoring (BPM), in that the client of a stream processing application is often a program, rather than a human. Hence, the volume and latency requirements are often much more stringent.

Currently, stream processing is widely used in computing real-time analytics in e-trading, maintaining the state of massively multi-player Internet games, real-time risk analysis, network monitoring, and national security applications. In the future, the declining cost of sensor technology will create new markets for this technology including congestion-based tolling on freeways and prevention of lost children at amusement parks.

Key Points

There are three main technical approaches to...

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Recommended Reading

  1. Stonebraker M., Çetintemel U., and Zdonik S. The 8 requirements of real-time stream processing. ACM SIGMOD Rec., 34(4):420–447, 2005.

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Author information

Authors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, MA, USA

    Michael Stonebraker

Authors
  1. Michael Stonebraker
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Stonebraker, M. (2009). Stream Processing. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_371

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