Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/110042
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Type: | Conference paper |
Title: | PLMwsp: Probabilistic latent model for web service QoS prediction |
Author: | Madi, B. Sheng, Q. Yao, L. Qin, Y. Wang, X. |
Citation: | Proceedings of the 2016 IEEE International Conference on Web Services, 2016 / ReiffMarganiec, S. (ed./s), pp.623-630 |
Publisher: | IEEE |
Issue Date: | 2016 |
ISBN: | 9781509026753 |
Conference Name: | IEEE 23rd International Conference on Web Services (ICWS) (27 Jun 2016 - 2 Jul 2016 : San Francisco, CA) |
Editor: | ReiffMarganiec, S. |
Statement of Responsibility: | Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, and Xianzhi Wang |
Abstract: | With the unprecedented and dramatic development of Web services in recent years, designing novel approaches for efficient Web service prediction has become of paramount importance. Quality of Service (QoS) plays a critical role in Web service recommendation. However determining QoS values of Web services is still a challenging task. For example, some QoS properties (e.g., response time, throughput) may hold different values for different users. In this paper, we describe how to develop a novel approach, PLMwsp, based on a probabilistic latent model, to predict effectively the QoS values ofWeb services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach. |
Keywords: | Web Services; Quality of Service; Web Service Prediction; Probabilistic Latent Model |
Rights: | © 2016 IEEE |
DOI: | 10.1109/ICWS.2016.86 |
Published version: | http://dx.doi.org/10.1109/icws.2016.86 |
Appears in Collections: | Aurora harvest 8 Computer Science publications |
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RA_hdl_110042.pdf | Restricted Access | 657 kB | Adobe PDF | View/Open |
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