Abstract
In order to find the service nodes, which the users are satisfied with, in a high speed and efficiency in open network environment, a new grid-oriented multi-level service selection model is proposed, which is based on the concept of user-similarity group. On this condition, direct trust calculation based on time decay is given and fine-grained recommendation trust calculation is studied, which can distinguish the ability of honesty. In addition, based on activity level of nodes, dynamic weight-allocation method is proposed, which can make the prediction results be closer to the fact. After job-interaction, the update algorithm about honesty ability of recommendation nodes is researched, which will provide more reasonable and reliable reference for the next prediction. Simulation results show that the service selection model and trust calculation methods are reasonable and accurate.
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References
Sun, Y.X., Huang, S.H., Chen, L.J.: Bayesian Decision-Making Based Recommendation Trust Revision Model in Ad Hoc Networks. Journal of Software 20(9), 2574–2586 (2009) (in English)
Li, X.Y., Gui, X.L., Mao, Q., Leng, D.Q.: Adaptive Dynamic Trust Measurement and Prediction Model Based on Behavior Monitoring. Chinese Journal of Computers 32(4), 664–674 (2009)
Zhang, R.L., Wu, X.N., Zhou, S.Y., Dong, X.S.: A Trust Model Based on Behaviors Risk Evaluation. Chinese Journal of Computers 32(4), 688–698 (2009)
Stefan, S., Robert, S.: Fuzzy trust evaluation and credibility development in multi-agent systems. Applied Soft Computing 7(2), 492–505 (2007)
Yan, S.R., Zheng, X.L., Chen, D.R.: User-Centric Trust and Reputation Model for Personal and Trusted Service Selection. International Journal of Intelligent Systems 26(8), 687–717 (2011)
Wang, Y., Dai, G.P., Jiang, Z.T., Hou, Y.R., Fang, J., Ren, X.T.: A Trust Enhanced Service Composition Scheduling Algorithm. Acta Electronica Sinica 37(10), 2234–2238 (2009)
Li, M.C., Yang, B., Zhong, W., Tian, L.L., Jiang, H., Hu, H.G.: Grid Dynamic Authorization Model Based on Feedback Mechanism. Chinese Journal of Computers 32(11), 2187–2199 (2009)
Lang, B.: Access control oriented quantified trust degree representation model for distributed systems. Journal on Communications 31(12), 45–54 (2010)
Zhang, B., Xiang, Y., Wang, P.: A Novel Capacity and Trust Based Service Selection Mechanism for Collaborative Decision Making in CPS. Computer Science and Information Systems 8(4), 1159–1184 (2011)
Pan, Z., Baik, J.: A QoS Enhanced Framework and Trust Model for Effective Web Services Selection. Journal of Web Engineering 9(2), 186–204 (2010)
Satsiou, A., Tassiulas, L.: Trust-based exchange of services to motivate cooperation in P2P networks. Peer-to-Peer Networking and Applications 4(2), 122–145 (2011)
Zhang, L., Wang, R.C., Zhang, Y.P.: A trust evaluation model based on fuzzy set for grid environment. Acta Electronica Sinica 36(5), 862–868 (2008)
Chen, C., Wang, R.C., Zhang, L.: The Research of Subject Trust Model Based on Fuzzy Theoryin Open Networks. Acta Electronica Sinica 38(11), 2505–2509 (2010)
Zhang, L., Wang, R.C., Wang, H.Y.: Trust transitivity algorithm based on multiple influencing factors for grid environment. Journal on Communications 32(7), 161–168 (2011)
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Zhang, L., Liu, Z., Wang, R., Wang, H. (2013). A Dynamic Web Services Selection Algorithm Based on Trust Model for Grid Environment. In: Wang, R., Xiao, F. (eds) Advances in Wireless Sensor Networks. CWSN 2012. Communications in Computer and Information Science, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36252-1_63
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DOI: https://doi.org/10.1007/978-3-642-36252-1_63
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