Abstract
Centralized and distributed evaluation approaches have been proposed for Quality of Services (QoS) measurement. The centralized evaluation approach cannot reflect the user-side QoS and the distributed evaluation approach depend on users to provide evaluation records. In this paper, a hybrid evaluation tool comprising two approaches is proposed. In particular, the centralized evaluation is deployed on a cloud computing platform which is the Amazon web services (AWS). Therefore, the hybrid tool can make evaluation from several AWS regions even if there are no test volunteers. Both the collaborative filtering model and the multiple regression model are implemented in the hybrid evaluation tool for predicting the unknown QoS value. To illustrate the advantages of the hybrid QoS evaluation tool, the scene of a traveler who wants to evaluate and select a best web service in the real world is presented. The results show that the hybrid tool is effective and convenient for users to evaluate the QoS of web services.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 61202091) and the Fundamental Research Funds for Central Universities (Grant No. NSRIF.2016050).
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Shu, Y., Zhao, Y., Liu, H., Zuo, D., Yang, X. (2015). A Hybrid QoS Evaluation Tool Based on the Cloud Computing Platform. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_57
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DOI: https://doi.org/10.1007/978-3-319-27140-8_57
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