Abstract
QoS-based service selection mechanisms will play an essential role in service-oriented architectures, as e-Business applications want to use services that most accurately meet their requirements. Standard approaches in this field typically are based on the prediction of services’ performance from the quality advertised by providers as well as from feedback of users on the actual levels of QoS delivered to them. The key issue in this setting is to detect and deal with false ratings by dishonest providers and users, which has only received limited attention so far. In this paper, we present a new QoS-based semantic web service selection and ranking solution with the application of a trust and reputation management method to address this problem. We will give a formal description of our approach and validate it with experiments which demonstrate that our solution yields high-quality results under various realistic cheating behaviors.
The work presented in this paper was (partly) carried out in the framework of the EPFL Center for Global Computing and was supported by the Swiss National Funding Agency OFES as part of the European project DIP (Data, Information, and Process Integration with Semantic Web Services) No 507483. Le-Hung Vu is supported by a scholarship of the Swiss federal government for foreign students. We also thank Zoran Despotovic, Amit Lakhani and the anonymous reviewers for their carefully reading and commenting this paper.
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Vu, LH., Hauswirth, M., Aberer, K. (2005). QoS-Based Service Selection and Ranking with Trust and Reputation Management. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE. OTM 2005. Lecture Notes in Computer Science, vol 3760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575771_30
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DOI: https://doi.org/10.1007/11575771_30
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