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Encyclopedia of Database Systems pp 3768–3771Cite as

Stream Models

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Definition

Conceptually, a data stream is a sequence of data items that collectively describe one or more underlying signals. For instance, a network traffic stream describes the type and volume of data transmitted among nodes in the network; one possible signal is a mapping between pairs of source and destination IP addresses to the number of bytes transmitted from the given source to the given destination. A stream model explains how to reconstruct the underlying signals from individual stream items. Thus, understanding the model is a prerequisite for stream processing and stream mining. In particular, the computational complexity of a data stream problem often depends on the complexity of the model that describes the input.

Historical Background

The stream models discussed in this article were introduced in [3] and extended in [7, 8]. In addition to modeling a stream with respect to its underlying signal(s), there exist the following two related concepts. First, the stream...

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Recommended Reading

  1. Arasu A, Babu S, Widom J. The CQL continuous query language: semantic foundations and query execution. VLDB J. 2006;15(2):121–42.

    Article  Google Scholar 

  2. Ghanem T, Hammad M, Mokbel M, Aref W, Elmagarmid A. Incremental evaluation of sliding-window queries over data streams. IEEE Trans Knowl Data Eng. 2007;19(1):57–72.

    Article  Google Scholar 

  3. Gilbert A, Kotidis Y, Muthukrishnan S, Strauss M. Surfing wavelets on streams: one-pass summaries for approximate aggregate queries. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001. p. 79–88.

    Google Scholar 

  4. Girod L, Mei Y, Newton R, Rost S, Thiagarajan A, Balakrishnan H, Madden S. The case for a signal-oriented data stream management system. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research; 2007. p. 397–406.

    Google Scholar 

  5. Golab L, Özsu MT. Update-pattern aware modeling and processing of continuous queries. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2005. p. 658–69.

    Google Scholar 

  6. Henzinger M, Raghavan P, Rajagopalan S. Computing on data streams. DIMACS Ser Discret Math Theor Comput Sci. 1999;50:107–18.

    Article  MathSciNet  MATH  Google Scholar 

  7. Hoffmann M, Muthukrishnan S, Raman R. Streaming algorithms for data in motion. ESCAPE. Berlin: Springer; 2007. p. 294–304.

    MATH  Google Scholar 

  8. Muthukrishnan S. Data streams: algorithms and applications. Found Trends Theor Comput Sci. 2005;1(2):1–67.

    Article  MathSciNet  MATH  Google Scholar 

  9. Paxson V, Floyd S. Wide-area traffic: the failure of poison modeling. IEEE/ACM Trans Netw. 1995;3(3):226–44.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Waterloo, Waterloo, ON, Canada

    Lukasz Golab

Authors
  1. Lukasz Golab
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Correspondence to Lukasz Golab .

Editor information

Editors and Affiliations

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

    Ling Liu

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

    M. Tamer Özsu

Section Editor information

  1. AT&T Labs-Research, Bedminster, NJ, USA

    Divesh Srivastava

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Golab, L. (2018). Stream Models. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_370

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