A Robust Service Selection Method Based on Uncertain QoS. (25th February 2016)

• Record Type: Journal Article
• Authors: Chen, Yanping; Jiang, Lu; Zhang, Jianke; Dong, Xiaoxiao
• Other Names: Amirteimoori Alireza Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-02-25
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/9480769
• Languages: English
• ISSNs: 1024-123X

Abstract

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.