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Mathematical Problems in Engineering
Volume 2016, Article ID 9480769, 10 pages
Research Article

A Robust Service Selection Method Based on Uncertain QoS

1School of Computer Science, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
2ZTE Corporation, Xi’an 710114, China
3School of Science, Xi’an University of Posts and Telecommunications, Xi’an 710121, China

Received 14 October 2015; Revised 11 January 2016; Accepted 27 January 2016

Academic Editor: Alireza Amirteimoori

Copyright © 2016 Yanping Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Nowadays, the number of Web services on the Internet is quickly increasing. Meanwhile, different service providers offer numerous services with the similar functions. Quality of Service (QoS) has become an important factor used to select the most appropriate service for users. The most prominent QoS-based service selection models only take the certain attributes into account, which is an ideal assumption. In the real world, there are a large number of uncertain factors. In particular, at the runtime, QoS may become very poor or unacceptable. In order to solve the problem, a global service selection model based on uncertain QoS was proposed, including the corresponding normalization and aggregation functions, and then a robust optimization model adopted to transform the model. Experiment results show that the proposed method can effectively select services with high robustness and optimality.