Skip to main content

Temporal Restriction Query Optimization for Event Stream Processing

  • Conference paper
Advances in Web and Network Technologies, and Information Management (APWeb 2009, WAIM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5731))

  • 416 Accesses

Abstract

The trend that organizations are linking Service Oriented Architecture (SOA) efforts closely to real-time processes makes research and industrial community increasingly focus on the SOA and Event Stream Processing (ESP) connection. ESP needs to correlate multiple continuous events involved in complex temporal relationship and attribute logic relationship to more abstract complex events in richer semantic. Due to high speed arrival rate of events and vast volume of registered complex event queries, memory consumption and incremental event query evaluation demand a comprehensive dedicate event stream processing framework with low-latency and high scalability. In this paper, we study problems of query optimization for ESP, especially topics on temporal restriction query. We first propose a framework to integrate ESP features with business process management and monitor. We then describe a query plan-based approach to efficiently execute ESP queries. Our approach uses algebraic conversion to efficiently handle temporal restriction queries, which are a key component of complex event processing, and computes temporal relevance condition at compile time to obtain event relevance time for a given expression. We demonstrate the effectiveness of our approach through a performance evaluation of our prototype implementation.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gold-Bernstein, B., et al.: SOA Trends: Intersection of SOA, EDA, BPM, and BI (2007), http://www.ebizq.net/filelib/8692.html

  2. Wu, E., et al.: High-Performance Complex Event Processing over Streams. In: Proc. SIGMOD, pp. 407–418 (2006)

    Google Scholar 

  3. Demers, A., et al.: Cayuga: A General Purpose Event Monitoring System. In: Proc. Biennial Conference on Innovative Data Systems Research, CIDR (2007)

    Google Scholar 

  4. Luckham, D.C.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems, p. 376. Addison-Wesley, Reading (2001)

    Google Scholar 

  5. Jia-hong, L., Quan-yuan, W.: An Event-Driven Service-Oriented Computing Platform. Chinese Journal of Computers 31(4), 588–599 (2008) (in Chinese)

    Google Scholar 

  6. Agrawal, J., et al.: Efficient Pattern Matching over Event Streams. In: Proc. ACM SIGMOD (2008)

    Google Scholar 

  7. Barga, R.S., et al.: Consistent Streaming Through Time, Technical Report, Microsoft Research (2006)

    Google Scholar 

  8. Bry, F.o., Michael, E.: On static determination of temporal relevance for incremental evaluation of complex event queries. In: Proc. International Conference on Distributed Event-Based Systems(DEBS), pp. 289–300. ACM, New York (2008)

    Chapter  Google Scholar 

  9. Arasu, A., Babu, S., Widom, J.: CQL: A language for continuous queries over streams and relations. In: Lausen, G., Suciu, D. (eds.) DBPL 2003, vol. 2921, pp. 1–19. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Chandrasekaran, S., et al.: TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. In: Proc. Biennial Conference on Innovative Data Systems Researches, CIDR (2003)

    Google Scholar 

  11. Wei, M., et al.: ReCEPtor: Sensing Complex Events in Data Streams for Service-Oriented Architectures, HPL-2007-176, Digital Printing and Imaging Laboratory,HP Laboratories,Palo Alto (2007)

    Google Scholar 

  12. Ding, L., et al.: Runtime Semantic Query Optimization for Event Stream Processing. In: Proc. ICDE, pp. 676–685. IEEE Computer Society, Los Alamitos (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, J., Wu, Q., Liu, W. (2009). Temporal Restriction Query Optimization for Event Stream Processing. In: Chen, L., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2009 2009. Lecture Notes in Computer Science, vol 5731. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03996-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03996-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03995-9

  • Online ISBN: 978-3-642-03996-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics