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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shangguang Wang Zibin Zheng Qibo Sun Hua Zou Fangchun Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong (Zibin Zheng) || State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, China (Shangguang Wang; Qibo Sun; Hua Zou; Fangchun Yang) |
| Abstract | Cloud computing is Internet-based computing where computing resources are offered over the Internet as scalable, on-demand services. Web services are widely employed for building distributed cloud applications. Performance of web services may fluctuate due to the dynamic Internet environment, which makes the Quality-of-Service (QoS) inherently uncertain. With the increase of Web services in the Internet, selecting the optimal service from a set of functionally equivalent candidates becomes an important research problem. In this paper, we propose an efficient and effective QoS-aware service selection approach. Our approach first employs cloud model to compute the QoS uncertainty for pruning redundant services while extracting reliable services. Then, mixed integer programming is used to select optimal services. The experimental results show that our approach can provide reliable and efficient optimal service selection for users. |
| Starting Page | 666 |
| Ending Page | 671 |
| File Size | 473524 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457702495 |
| e-ISBN | 9781457702488 |
| DOI | 10.1109/INFCOMW.2011.5928896 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Web services Computational modeling Quality of service Numerical models Helium |
| Content Type | Text |
| Resource Type | Article |
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