Skip to main content

Abstract

Service oriented architecture is a challenging area to fervently focus on. In that web service composition plays a vital role. The main crux behind composition lies on the effective selection of available web services in order to provide the value added services on the fly. Quality of Service (QoS) is one of the non functional properties of the web services, which is used to evaluate the degree to which the service can satisfy the service request. In the proposed approach, the composition is handled based on the QoS the web service has provided in its previous attempts towards composition. A separate process of updating the beliefs and reputation is been identified which stores the appropriate belief factor against the candidate web service in the process registry. Instead of having the QoS as a constant provider specified value, our approach assigns the value based on the end users feedback. The paper discusses the approach used in identifying the quality of the web service composition and the efficiency of composing relevant services for the service request.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Huang, A.F.M., Lan, C.-W., Yang, S.J.H.: An optimal QoS-based Web service selection scheme. Information Sciences, 3309–3322 (2009)

    Google Scholar 

  2. Liu, M., Shen, W., Hao, Q., Yan, J.: An weighted ontology-based semantic similarity algorithm for web service. Expert Systems with Applications (2009)

    Google Scholar 

  3. Pastrana, J.L., Pimentel, E., Katrib, M.: QoS-enabled and self-adaptive connectors for WebServices composition and coordination. Computer Languages, Systems & Structures 37(1) (April 2011)

    Google Scholar 

  4. Wang, P., Chao, K.-M., Lo, C.-C., Huang, C.-L., Li, Y.: A Fuzzy Model for Selection of QoS-Aware Web Services. In: Proceedings of the IEEE International Conference on e-Business Engineering (ICEBE 2006), pp. 585–593 (2006)

    Google Scholar 

  5. Wang, P.: An Entropy Decision Model for Selection of QoS-Aware Services Provisioning. Department of MIS, Kun Shan University, Taiwan (2006)

    Google Scholar 

  6. Tran, V.X., Tsuji, H., Masuda, R.: A new QoS ontology and its QoSbased ranking algorithm for Web services. Journal on Simulation Modeling Practice and Theory, Science Direct 17(8), 1378–1398 (2009)

    Article  Google Scholar 

  7. Toma, I., Foxvog, D., Jaeger, M.C.: Modeling QoS characteristics in WSMO. In: Proceedings of the First Workshop on Middleware for Service Oriented Computing, pp. 42–47 (2006)

    Google Scholar 

  8. Yu, T., Lin, K.-J.: Service Selection Algorithms for Web Services with End-to-End QoS Constraints. In: Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, China, pp. 129–136 (March 2005)

    Google Scholar 

  9. Liu, F., Lei, Z.-M.: Research on user-aware QoS based Web services composition. The Journal of China Universities of Posts and Telecommunications, Science Direct 16(5), 125–130 (2009)

    Article  Google Scholar 

  10. Lv, C., Dou, W., Chen, J.: QoS-Aware Service Selection Using QDG for B2B Collaboration. In: Proceedings of the Fourteenth IEEE International Conference on Parallel and Distributed Systems, pp. 336–343 (2008)

    Google Scholar 

  11. Rong, W., Liu, K., Liang, L.: Personalized Web Service Ranking via User Group combining Association Rule. In: Proceedings of the IEEE International Conference on Web services, pp. 445–452 (2009)

    Google Scholar 

  12. Choi, S.W., Her, J.S., Kim, S.D.: QoS metrics for evaluating services from the perspective of service providers. In: Proc. IEEE Intl. Conf. on e-Business Engineering, pp. 622–625 (2007)

    Google Scholar 

  13. Papaioannou, I.V., et al.: A QoS ontology language for web services. In: Proceedings of 20th International Conference on Advanced Information Networking and Applications, pp. 18–25. IEEE Computer Society (2006)

    Google Scholar 

  14. Protégé, Ontology Editor (2007), http://protege.stanford.edu/

  15. Luo, Y.-S., Qi, Y., Hou, D., Shen, L.-F., Chen, Y., Zhong, X.: A novel heuristic algorithm for QoS-aware end-to-end service composition. Science Direct (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Mallayya, D., Ramachandran, B. (2012). Adaptive QoS-Aware Web Service Composition. In: Meghanathan, N., Chaki, N., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. Computer Science and Engineering. CCSIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27308-7_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27308-7_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27307-0

  • Online ISBN: 978-3-642-27308-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics