Skip to main content

Web Services Composition

  • Chapter

Part of the book series: Semantic Web and Beyond ((ADSW,volume 3))

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Suggested Additional Reading

  • Coello Carlos A., van Veldhuizen D.A., Lamont G.B.; Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic/Plenum Publishers, New York, 2002: This book is a reference in the domain of Evolutionary Multiobjective Optimization.

    MATH  Google Scholar 

References

  • Andrews T., Curbera F., Dholakia H., Goland Y., Klein J., Leymann F., Liu K., Roller D., Smith D., Thatte S., Trickovic I. and Weerawarana S. Specification: BPEUWS-Business Process Execution Language for Web Services-Version 1.1. Retrieved May 30, 2005, from ftp://www6.software.ibm.com/software/developer/library/ws-bpel.pdf, May (2003).

    Google Scholar 

  • Barichard H., Hao J-K. A population and Interval Constraint Propagation Algorithm. In Second International Conference Evolutionary Multi-Criterion Optimization (EMO). Lecture Notes in Computer Science 2632:88–101(2003).

    Article  Google Scholar 

  • Bonatti P., Festa P. On Optimal Service Selection. In International World Wide Web Conference (www’2005), May 10–14, Chiba, Japan (2005).

    Google Scholar 

  • BPWS4.l API. Retrieved November 26, 2004, from http://www.alphaworks.ibm.com/ tech/bpws4j.

    Google Scholar 

  • Canfora G., di Penta M., Esposito R., Villani M.L. QoS-Aware Replanning of Composite Web Services. In International Conference of Web Services (ICWS’2005), July 11–17, Orlando (2005).

    Google Scholar 

  • Cardoso J., Sheth A., Miller J., Arnold J., Kochut K. Quality of Service for Workflows and Web Service Processes. In Web Semantics: Sciences, Services and Agents on the World Wide Web 281–308, 1 (2004).

    Google Scholar 

  • Collette Y., Siarry P. Multiobjective Optimization: Principles and Case Studies, Springer, NY, Berlin (2003).

    Google Scholar 

  • Coello C.C.A., Van Veldhuizen D.A. Lamont G.B. Evolutionary Algorithms for Solving Multi-objective Problems. Kluwer Academic Publishers, New York (2002).

    MATH  Google Scholar 

  • Deb K., Pratap A., Agarwal S., Meyarivan T. A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-11. IEEE Trans Evol Computat, Volume 6, pp. 182–197, April, (2002).

    Article  Google Scholar 

  • Fuzzy Logic Fundamentals, Chapter 3, pg 61–103. Retrieved February 8, 2005. Available on http://www.informit.com/content/images/0135705991/samplechapter/0l35705991.pdf (2005).

    Google Scholar 

  • Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Reading, Massachusetts (1989).

    MATH  Google Scholar 

  • Grigori D., Bouzeghoub M. Service retrieval based on behavioral specification. In International Conference of Web Services (ICWS’OS), July 11–17, Orlando (2005).

    Google Scholar 

  • Hull R., Su J. Tools for Design of Composite Web Services. In SIGMOD 2004, June 13–18, Paris (2004).

    Google Scholar 

  • Jaeger M.C., Muhl G., Golze S. QoS-aware Composition of Web Services: A Look at Selection Algorithms. In International Conference of Web Services (ICWS’2005), July 11–17, Orlando (2005).

    Google Scholar 

  • Khalaf R. Business Process with BPEUWS, Part 2. Retrieved October 27, 2004. Available on http://www-l28.ibm.com/developerworks/webservices/library/ws-bpelcol2/

    Google Scholar 

  • Knowles J., Corne D. The Pareto archived evolution strategy: A new baseline algorithm for multiobjective optimization. In Congress of Evolutionary Computation, Piscataway, New Jersey: IEEE Service Center, 98–105 (1999)

    Google Scholar 

  • Liu Y., Ngu A.H.H., Zeng L. QoS Computation and Policing in Dynamic Web Service. In Thirteenth International Conference of www 2004, May 17–22, New York, New York (2004).

    Google Scholar 

  • Ltistedt J., Svensson M. Baltazar-A Fuzzy Expert for Driving Situation Detection. Master Diss., Department of Sciences, Lund University (2000).

    Google Scholar 

  • Mandel D.J., McIlraith S.A. Adapting BPEL4WS for the Semantic Web Bottom-up Approach to Web Services Interoperation. In Second International Semantic Web Conference (ISWC), Sanibel Island, Florida (2003).

    Google Scholar 

  • Mindswap G. Maryland Information and Network dynamics lab semantic web agents projects. Retrieved October 28, 2004. Available on http://www.mindswap.org/ 2004/owls/api/index.shtml(2004).

    Google Scholar 

  • Moura L. A Genetic algorithm to fuzzy multiobjective optimization. Master diss. Department of Electric Engineer, Campinas University (2001).

    Google Scholar 

  • Narayanan S., McIlraith S.A. Simulation, Verification and Automated Composition of Web Services. In Eleventh International World Wide Web Conference (www 2002), Honolulu, May 7–10 (2002).

    Google Scholar 

  • Osyczka A. Multicriteria optimization for engineering design. In Gero, J.S., editor Design Optimization, pg.193–227. Academic Press (1985).

    Google Scholar 

  • OWL-S Coalition. OWL-S: Semantic Markup for Web Services. Retrieved April 12, 2005. Available on http://www.daml.org/services/owl-./1.1/(2005).

    Google Scholar 

  • Ran S. A Model for Web Services Discovery with QoS. In ACM SIGecom Exchanges, Volume 4, Issue 1, Spring, pp. 1–10, ACM Press, New York, NY (2003)

    Google Scholar 

  • Sreenath R.M., Singh M.P. Agent-based service selection. In Web Semantics: Science, Service and Agents on the World Wide Web, 261–279 (2004).

    Google Scholar 

  • Tan K.C., Khor E.F., Lee T.H. Multiobjective Evolutionary Algorithms and Applications. Springer-Verlag, ISBN 1-85233-836-9, London (2005).

    Google Scholar 

  • van der Aalst W.M.P. Don’t Go with the Flow: Web Services Composition Standards Exposed. IEEE Inteligent Systems, 18(1):72–76 (2003).

    Article  Google Scholar 

  • Zeng L., Benatallah B., Dumas M., Kalagnanam J., Sheng Q.Z. Quality Driven Web Services Composition. In Twelfth International Conference of www, May 20-24, Budapest (2003).

    Google Scholar 

  • Zitizler E., Thiele L. Multiobjective Optimization using Evolutionary Algorithms-A Comparative Case Study. Parallel Problem Solving from Nature V, A.E. Eiben, T. Back, M. Schoenauer and H-P. Schwefel Eds. Berlin, Germany: Springer, 292–301 (1998).

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer Science+Business Media

About this chapter

Cite this chapter

Claro, D.B., Albers, P., Hao, JK. (2006). Web Services Composition. In: Cardoso, J., Sheth, A.P. (eds) Semantic Web Services, Processes and Applications. Semantic Web and Beyond, vol 3. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34685-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-34685-4_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-30239-3

  • Online ISBN: 978-0-387-34685-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics