Skip to main content
SpringerLink
Log in

Window-Based Query Processing

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 28 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Srivastava U, Widom J. Flexible time management in data stream systems. In: Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 2004. p. 263–74.

    Google Scholar 

  2. Abadi D, Ahmad Y, Balazinska M, Cetintemel U, Cherniack M, Hwang J-H, Lindner W, Maskey AS, Rasin A, Ryvkina E, Tatbul N, Xing Y, Zdonik S. The design of the Borealis stream processing engine. In: Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research; 2005. p. 277–89.

    Google Scholar 

  3. Ryvkina E, Maskey AS, Cherniack M, Zdonik S. Revision processing in a stream processing engine: a high-level design. In: Proceedings of the 22nd International Conference on Data Engineering; 2006.

    Google Scholar 

  4. Ghanem TM, Hammad MA, Mokbel MF, Aref WG, Elmagarmid AK. Incremental evaluation of sliding-window queries over data streams. IEEE Trans Knowl Data Eng. 2007;19(1):57–72.

    Article  Google Scholar 

  5. Tucker PA, Maier D, Sheard T, Fegaras L. Exploiting punctuation semantics in continuous data streams. IEEE Trans Knowl Data Eng. 2003;15(3):555–68.

    Article  Google Scholar 

  6. Chandrasekaran S, Franklin MJ. Streaming queries over streaming data. In: Proceedings of the 28th International Conference on Very Large Data Bases; 2002. p. 203–14.

    Chapter  Google Scholar 

  7. Hammad MA, Franklin MJ, Aref WG, Elmagarmid AK Scheduling for shared window joins over data streams. In: Proceedings of the 29th International Conference on Very Large Data Bases; 2003. p. 297–308.

    Chapter  Google Scholar 

  8. Jianjun C, DeWitt DJ, Feng T, Yuan W. NiagaraCQ: a scalable continuous query system for internet databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2000. p. 379–90.

    Google Scholar 

  9. Jianjun C, DeWitt DJ, Naughton JF. Design and evaluation of alternative selection placement strategies in optimizing continuous queries. In: Proceedings of the 18th International Conference on Data Engineering; 2002. p. 345–56.

    Google Scholar 

  10. Madden S, Shah MA, Hellerstein JM, Raman V. Continuously adaptive continuous queries over streams. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2002. p. 49–60.

    Google Scholar 

  11. The STREAM Group. STREAM: the stanford stream data manager. IEEE Data Eng Bull. 2003;26(1):19–26.

    Google Scholar 

  12. Hammad MA, Mokbel MF, Ali MH, Aref WG, Catlin AC, Elmagarmid AK, Eltabakh M, Elfeky MG, Ghanem T, Gwadera R, Ilyas IF, Marzouk M, Xiong X. Nile: a query processing engine for data streams. In: Proceedings of the 20th International Conference on Data Engineering; 2004. p. 851.

    Google Scholar 

  13. Ghanem TM, Elmagarmid AK, Larson PA, Aref WG. Supporting views in data stream management systems. ACM Transactions on Database Systems. 2010; 35(1), 1:1–1:47.

    Article  Google Scholar 

  14. Abadi D, Carney D, Cetintemel U, Cherniack M, Convey C, Lee S, Stonebraker M, Tatbul N, Zdonik S. Aurora: a new model and architecture for data stream management. VLDB J. 2003;12(2):120–39.

    Article  Google Scholar 

  15. Bai Y, Thakkar H, Luo C, Wang H, Zaniolo C. A data stream language and system designed for power and extensibility. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management; 2006. p. 337–46.

    Google Scholar 

  16. Johnson T, Muthukrishnan S, Shkapenyuk V, Spatscheck O A heartbeat mechanism and its application in gigascope. In: Proceedings of the 31st International Conference on Very Large Data Bases; 2005. p. 1079–88.

    Google Scholar 

  17. Stonebraker M, Cetintemel U, Zdonik S. The 8 requirements of real-time stream processing. ACM SIGMOD Rec. 2005;34(4):42–7.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Purdue University, West Lafayette, IN, USA

    Walid G. Aref

Authors
  1. Walid G. Aref
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Walid G. Aref .

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. Department of Computer Science, Brown University, Providence, RI, USA

    Ugur Cetintemel

Rights and permissions

Reprints and permissions

Copyright information

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

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Aref, W.G. (2018). Window-Based Query Processing. 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_468

Download citation

Publish with us

Policies and ethics

Search

Navigation