Abstract
As more and more Web service become available, large-scale and open distributed systems enable participants to share resources and services with each other via the Web. However, they always run in a highly dynamic change environment where various uncertain factors often emerge, such as server unavailable, internet interrupt or temporarily interrupt and so on. In order to make the composite service run normally and minimize the interrupt time by the exceptional handling, it is necessary for the system to own the ability to predict the reliability of composite service in advance. This paper proposes an efficient prediction model by mining concise patterns to predict service reliability. Experiments show that the efficiency of proposed method.
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References
Yu, Q., Liu, X.M., Bouguettaya, A., Medjahed, B.: Deploying and managing Web services: issues, solutions, and directions. The VLDB Journal 17, 537–572 (2008)
Yu, T., Zhang, Y., Lin, K.J.: Efficient Algorithms for Web Services Selection with End-to-End QoS Constraints. ACM Trans. Web 1(1), 1–25 (2007)
Leitner, P., Michlmayr, A., Rosenberg, F., Dustdar, S.: Monitoring, Prediction and Prevention of SLA Violations in Composite Services. In: Proc. of IEEE International Conference on Web Services, pp. 369–376. IEEE Press, Miami (2010)
Zheng, Z.B., Ma, H., Michael, R., King, I.: QoS-Aware Web Service Recommendation by Collaborative Filtering. IEEE Transactions on Service Computing (TSC) 4(2), 140–152 (2011)
Chen, L., Feng, Y.P., Wu, J., Zheng, Z.B.: An Enhanced QoS Prediction Approach for Service Selction. In: Proc. of the 5th IEEE International Conference on Web Services. IEEE Press, Washington (accepted 2011)
Xie, Q., Wu, K., Xu, J., He, P., Chen, M.: Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering. In: Cao, L., Zhong, J., Feng, Y. (eds.) ADMA 2010, Part II. LNCS, vol. 6441, pp. 368–375. Springer, Heidelberg (2010)
Shao, L., Zhang, J., Wei, Y., Zhao, J., Xie, B., Mei, H.: Personalized QoS Prediction for Web Services via Collaborative Filtering. In: Proc. of the 5th IEEE International Conference on Web Services, pp. 439–446. IEEE Press, Beijing (2007)
Zhang, G., Liu, L., Seshadri, S., Bamba, B., Wang, B.: Scalable and Reliable Location Services through Decentralized Replication. In: Proc. of the 7th IEEE International Conference on Web Services, pp. 632–638. IEEE Press, Los Angeles (2009)
Zhang, L., Zhang, J., Hong, C.: Services Computing. TSingHua University Press, Beijing (2007)
Ge, J., Hu, H., Lu, J.: Service Discovery and Substitution According to Inheritance of Behavior with Invariant Analysis. In: Proc. of the 8th IEEE/ACIS International Conference on Computer and Information Science, pp. 971–976. IEEE Press, Shanghai (2009)
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Yin, Y., Zhang, X., Zhang, B. (2011). Mining the Concise Patterns for Service Reliability Prediction. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27503-6_23
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DOI: https://doi.org/10.1007/978-3-642-27503-6_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27502-9
Online ISBN: 978-3-642-27503-6
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