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Developing and Adopting Trust-aware Collaborative Prediction of QoS for Service-based Systems

Authors:
Feng-Jian Wang
Chen-Yang Chen
Po-Han Chen

Keywords: Trust-aware, QoS Prediction, Service-Based Systems, Opinion

Abstract:
An application (service) can be composed of existing services. Generally, an appropriate service might be selected according to the predicted Quality of Service (QoS) values, and the most common approach for service selection is using collaborative filtering for prediction. In this paper, we present a trust-aware QoS prediction method for service selection, which is inspired by trust relationships in social networks. We use direct and indirect similarities of opinion among users, each of which are combinations of belief, disbelief, and uncertainty. Then, we can derive similarities among users, select similar users, and predict the QoS value of a service. The experimental results show that the accuracy of QoS values determined using our method is better than that using other methods.

Pages: 14 to 20

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-3549

ISBN: 978-1-61208-387-2

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015