Abstract
The growing number of cloud service providers has led to an exploding number of functionally similar cloud services, with a wide range choices of non-functional properties (NFPs). Thus, selecting services based on NFPs becomes of significant importance. Current approaches assume that a cloud service provider offers a single service per functionality, therefore, they do not perform well in the real-life setting where each cloud service provider offers different service plans. In contrast, in this paper, we propose an approach to select top-k cloud services that is built taking into account the real-life setting. Our approach combines the trust, determined by the reputation of the provider, and the QoS. We present different algorithms for processing such selection queries and evaluate them through a set of experiments.
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Notes
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Our model and associated algorithms can handle other scoring functions of \(s_r(p_i)\), \(s_q(s_{ij})\) and \(s_g(s_{ij})\).
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Benouaret, K., Benouaret, I., Barhamgi, M., Benslimane, D. (2018). Efficient Top-k Cloud Services Query Processing Using Trust and QoS. In: Hartmann, S., Ma, H., Hameurlain, A., Pernul, G., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2018. Lecture Notes in Computer Science(), vol 11029. Springer, Cham. https://doi.org/10.1007/978-3-319-98809-2_13
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