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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Huang, A.F.M., Lan, C.-W., Yang, S.J.H.: An optimal QoS-based Web service selection scheme. Information Sciences, 3309–3322 (2009)
Liu, M., Shen, W., Hao, Q., Yan, J.: An weighted ontology-based semantic similarity algorithm for web service. Expert Systems with Applications (2009)
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)
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)
Wang, P.: An Entropy Decision Model for Selection of QoS-Aware Services Provisioning. Department of MIS, Kun Shan University, Taiwan (2006)
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)
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)
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)
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)
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)
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)
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)
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)
Protégé, Ontology Editor (2007), http://protege.stanford.edu/
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)