期刊
KNOWLEDGE-BASED SYSTEMS
卷 56, 期 -, 页码 216-225出版社
ELSEVIER
DOI: 10.1016/j.knosys.2013.11.014
关键词
Cloud computing; Service trustworthiness; Multi-attribute evaluation; QoS prediction; Customer satisfaction
资金
- National Natural Science Foundation of China [61374169, 71131002, 71331002, 71201042, 71071045]
- National Key Basic Research Program of China [2013CB329603]
- Specialized Research Fund for the Doctoral Program of Higher Education of MOE of China [20120111110020]
The collection and combination of assessment data in trustworthiness evaluation of cloud service is challenging, notably because QoS value may be missing in offline evaluation situation due to the time-consuming and costly cloud service invocation. Considering the fact that many trustworthiness evaluation problems require not only objective measurement but also subjective perception, this paper designs a novel framework named CSTrust for conducting cloud service trustworthiness evaluation by combining QoS prediction and customer satisfaction estimation. The proposed framework considers how to improve the accuracy of QoS value prediction on quantitative trustworthy attributes, as well as how to estimate the customer satisfaction of target cloud service by taking advantages of the perception ratings on qualitative attributes. The proposed methods are validated through simulations, demonstrating that CSTrust can effectively predict assessment data and release evaluation results of trustworthiness. (C) 2013 Elsevier B.V. All rights reserved.
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