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Quality-of-Service (QoS) is a fundamental element in Service-Oriented Computing (SOC) domain. At the ongoing age of Web 2.0, predicting the missing QoS values becomes more and more important since it is an indispensable preprocess of numerous service-oriented applications. Previous research works on this task underestimate the importance of users’ geographical information, which we argue would contribute...
With the explosive growth of Web services on the Internet, Quality-of-Service-based (QoS) service selection is becoming an important issue of service-oriented computing. The QoS values of services to current users are all supposed to be known in the previous works, while lots of them are not known in reality. In order to predict the missing data, many approaches have been employed in recent years...
Predicting the Quality of Service (QoS) values is important since they are widely applied to Service-Oriented Computing (SOC) research domain. Previous research works on this problem do not consider the influence of user location information carefully, which we argue would contribute to improving prediction accuracy due to the nature of Web services invocation process. In this paper, we propose a...
With the growing adoption of Web services on the World Wide Web, the issue of QoS-based service selection is becoming important. A common hypothesis of previous research is that the QoS information to the current user is supposed all known and accurate. However, the real case is that there are many missing QoS values in history records. To avoid the expensive and costly Web services invocations, this...
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