Ye, Fanghua;
Lin, Zhiwei;
Chen, Chuan;
Zheng, Zibin;
Huang, Hong;
(2021)
Outlier-Resilient Web Service QoS Prediction.
In:
WWW '21: Proceedings of the Web Conference 2021.
(pp. pp. 3099-3110).
ACM Press: New York, NY, USA.
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Abstract
The proliferation of Web services makes it difficult for users to select the most appropriate one among numerous functionally identical or similar service candidates. Quality-of-Service (QoS) describes the non-functional characteristics of Web services, and it has become the key differentiator for service selection. However, users cannot invoke all Web services to obtain the corresponding QoS values due to high time cost and huge resource overhead. Thus, it is essential to predict unknown QoS values. Although various QoS prediction methods have been proposed, few of them have taken outliers into consideration, which may dramatically degrade the prediction performance. To overcome this limitation, we propose an outlier-resilient QoS prediction method in this paper. Our method utilizes Cauchy loss to measure the discrepancy between the observed QoS values and the predicted ones. Owing to the robustness of Cauchy loss, our method is resilient to outliers. We further extend our method to provide time-aware QoS prediction results by taking the temporal information into consideration. Finally, we conduct extensive experiments on both static and dynamic datasets. The results demonstrate that our method is able to achieve better performance than state-of-the-art baseline methods.
| Type: | Proceedings paper |
|---|---|
| Title: | Outlier-Resilient Web Service QoS Prediction |
| Event: | Web Conference 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3442381.3449938 |
| Publisher version: | https://doi.org/10.1145/3442381.3449938 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Web service, QoS prediction, outlier resilience, Cauchy loss |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10152995 |
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