Uncertain QoS-Aware Skyline Service Selection Based on Cloud Model

2012 ◽  
Vol 23 (6) ◽  
pp. 1397-1412 ◽  
Author(s):  
Shang-Guang WANG ◽  
Qi-Bo SUN ◽  
Guang-Wei ZHANG ◽  
Fang-Chun YANG
Author(s):  
Shangguang Wang ◽  
Zibin Zheng ◽  
Qibo Sun ◽  
Hua Zou ◽  
Fangchun Yang

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 37644-37652 ◽  
Author(s):  
Yuli Yang ◽  
Rui Liu ◽  
Yongle Chen ◽  
Tong Li ◽  
Yi Tang

Author(s):  
Mohammed Merzoug ◽  
Fethallah Hadjila ◽  
Amine Belabed

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Yanping Chen ◽  
Lu Jiang ◽  
Jianke Zhang ◽  
Xiaoxiao Dong

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.


Author(s):  
Fu Xiaodong ◽  
Zou Ping ◽  
Shang Zhenhong ◽  
Jiang Ying

Author(s):  
Fethallah Hadjila ◽  
Amine Belabed ◽  
Mohammed Merzoug

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