Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Database Systems pp 2173–2178Cite as

Process Optimization

  • Reference work entry

  • 244 Accesses

Synonyms

Business process optimization; QoS-based web services composition

Definition

With the development of the service oriented architecture (SOA), complex applications can be composed as business processes invoking a variety of available Web services (WSs) with different characteristics. Advanced SOA systems [1,12,15] allow the development of applications by specifying component WSs in a process only through their required functional characteristics, and to select WSs during process execution from the ones included in a registry of available services. Service descriptions are stored and retrieved from enhanced UDDI registries, which also provide information about quality of service (QoS) on the provider side. Usually, a set of functionally equivalent services can be selected, i.e., services which implement the same functionality but differ for the quality parameters.

Process optimizationidentifies the best set of services available at run time, taking into consideration end-user...

This is a preview of subscription content, 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   2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  1. Ardagna D., Comuzzi M., Mussi E., Pernici B., and Plebani P. PAWS: A Framework for Executing Adaptive Web-Service Processes. IEEE Software, 24(6):39–46, 2007.

    Google Scholar 

  2. Ardagna D., Giunta G., Ingraffia N., Mirandola R., and Pernici B. QoS-driven Web services selection in autonomic grid environments. In Proc. OTM Confederated Int. Conf. CODPIS, DOA, GADA, and ODBASE, 2006, pp. 1273–1289.

    Google Scholar 

  3. Ardagna D. and Pernici B. Adaptive Service Composition in Flexible Processes. IEEE Trans. Software Eng., 2007.

    Google Scholar 

  4. Bonatti P.A. and Festa P. On optimal service selection. In Proc. 14th Int. World Wide Web Conference, 2005, pp. 530–538.

    Google Scholar 

  5. Canfora G., Penta M., Esposito R., and Villani M.L. QoS-Aware Replanning of Composite Web Services. In Proc. IEEE Int. Conf. on Web Services, 2005.

    Google Scholar 

  6. Cardellini V., Casalicchio E., Grassi V., and Mirandola R. A framework for optimal service selection in broker-based architectures with multiple QoS classes. In Proc. IEEE Services Comput. Workshops, 2006, pp. 105–112.

    Google Scholar 

  7. Cardoso J. Quality of Service and Semantic Composition of Workflows, Ph. D. Thesis, Univ. of Georgia, 2002.

    Google Scholar 

  8. Claro D.B., Albers P., and Hao J.K. Selecting Web Services for Optimal Composition. In Proc. IEEE Int. Conf. on Web Services., 2005.

    Google Scholar 

  9. Fox G.C. and Gannon D. Workflow in Grid Systems. Concurrency and Computation: Practice and Experience, 18(10):1009–1019, 2006.

    Google Scholar 

  10. Jaeger M.C., Muhl G., and Golze S. QoS-Aware Composition of Web Services: An Evaluation of Selection Algorithms. In Proc. Int. Conf. on Cooperative Inf. Syst., 2005.

    Google Scholar 

  11. Maamar Z., Sheng Q.Z., and Benatallah B. Interleaving Web Services Composition and Execution Using Software Agents and Delegation. In Proc. Web Services and Agent-Based Eng., 2003.

    Google Scholar 

  12. Patil A.A., Oundhakar S.A., Sheth A.P., and Verma K. METEOR-S web service annotation framework. In Proc. 12th Int. World Wide Web Conference, 2004, pp. 553–562.

    Google Scholar 

  13. Senkul P. and Toroslu I.H. An architecture for workflow scheduling under resource allocation constraints. Inf. Syst., 30(5):399–422, 2005.

    Google Scholar 

  14. Yu T., Zhang Y., and Lin K.J. Efficient algorithms for Web services selection with end-to-end QoS constraints. ACM Trans. Web, 1(1):1–26, 2007.

    Google Scholar 

  15. Zeng L., Benatallah B., Dumas M., Kalagnamam J., and Chang H. QoS-Aware Middleware for Web Services Composition. IEEE Trans. Software Eng., 30(5), 2004.

    Google Scholar 

Download references

Author information

Authors and Affiliations

    Authors
    1. Danilo Ardagna
      View author publications

      You can also search for this author in PubMed Google Scholar

    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)

    Rights and permissions

    Reprints and permissions

    Copyright information

    © 2009 Springer Science+Business Media, LLC

    About this entry

    Cite this entry

    Ardagna, D. (2009). Process Optimization. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_278

    Download citation

    Publish with us

    Policies and ethics

    Search

    Navigation