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Algorithms for Efficient Web Service Selection with Different Constraints

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Advances in Parallel Distributed Computing (PDCTA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 203))

Abstract

Web Services are gained much popularity in business applications. There are many web services that can handle same requests. So to select better service from them is an important issue. In this paper, we study different selection algorithms that consider various constraints for better service selection, thereby provide better web service composition.

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References

  1. Zeng, L., Benatallah, B., Ngu, A., Dumas, M., Kalagnanam, J., Chang, H.: QoS-aware middleware for web services composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)

    Article  Google Scholar 

  2. Yu, T., Zhang, Y., Lin, K.-J.: Efficient algorithms for web services selection with end-to-end QoS constraints. ACM Trans. on Web 1(1), 6 (2007)

    Article  Google Scholar 

  3. Yang, W.-L.: A comparison of two optimal approaches for the MCOP problem. Elsevier Ltd., Amsterdam, doi:10.1016/j.jnca.2003.10.003

    Google Scholar 

  4. Canfora, G., Di Penta, M., Esposito, R., Villani, M.L.: An Approach for QoS aware Service Composition based on Genetic Algorithms. In: ACM GECCO 2005 (June 25-29, 2005)

    Google Scholar 

  5. Tang, M., Ai, L.: A Hybrid Genetic Algorithm for the Optimal Constrained Web Service Selection Problem in Web Service Composition. In: 2010 IEEE Congress Evolutionary Computation, CEC (July 2010)

    Google Scholar 

  6. Li, L., Liu, C., Wang, J.: Deriving Transactional Properties of Composite Web Services. In: Proc. IEEE Int’l. Conf. Web Services (ICWS 2007), pp. 631–638 (July 2007)

    Google Scholar 

  7. El Haddad, J., Manouvrier, M., Rukoz, M.: TQoS: Transactional and QoS-Aware Selection Algorithm for Automatic Web Service Composition. IEEE Transactions on Services Computing 3(1) (January-March 2010)

    Google Scholar 

  8. Koduva, P.: Clustering Genetic Algorithm. In: 18th International Workshop on Database and Expert Systems Applications

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Johny, K., Jose, T. (2011). Algorithms for Efficient Web Service Selection with Different Constraints. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Parallel Distributed Computing. PDCTA 2011. Communications in Computer and Information Science, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24037-9_28

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  • DOI: https://doi.org/10.1007/978-3-642-24037-9_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24036-2

  • Online ISBN: 978-3-642-24037-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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