期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：4
页码：183-198
DOI：10.14257/ijhit.2016.9.4.17
出版社：SERSC
摘要：Service quality prediction plays a very important role in many fields related of service- oriented systems. Now, there are large numbers of approaches to predict the quality of service-oriented systems. However, it is impossible to apply one method to all prediction tasks without distinction. In reverse, unclearly to recognize the category of the prediction tasks will result in losing in all kinds of prediction approaches. In order to discover which methods are suitable for their corresponding service quality prediction scenarios, it is necessary to classify the prediction tasks and to classify the prediction approaches clearly. In this paper, a classification framework for predicting tasks for QoS of service- oriented systems is defined, four types of the prediction technologies are mainly introduced, and the research findings of quality prediction approaches for service- oriented system in literature using those four types of prediction technologies are listed and the increasing use of the method based on probabilistic model checking are specially concentrated on, and finally the result of this survey are given and the open research questions about predicting service quality by probabilistic model checking method are discussed.
关键词：Service quality prediction; Statistical forecast approaches; Machine ; learning prediction approaches; prediction methods based on formal methods
