A Robust Service Selection Method Based on Uncertain QoS

Author:

Chen Yanping1,Jiang Lu2,Zhang Jianke3,Dong Xiaoxiao1

Affiliation:

1. School of Computer Science, Xi’an University of Posts and Telecommunications, Xi’an 710121, China

2. ZTE Corporation, Xi’an 710114, China

3. School of Science, Xi’an University of Posts and Telecommunications, Xi’an 710121, China

Abstract

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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