Improved Adaptation of Web Service Composition Based on Change Impact Probability
Jun Na, Yan Gao, Bin Zhang, Liping Huang, Zhiliang Zhu · 2010
Due to the dynamic nature of environment in service computing, it becomes more important to make the Web service composition able to self-adapt to changes in its environment. Achieving this goal is a challenging task, as the performance of a composite Web service will be decreased if the adaptation happens frequently in runtime. In this paper, we improve adaptation of Web service composition by predicting the probability that a change will actual affect the running composite service, which is named change impact probability (CIP), and provide a methodology based on a comprehensive QoS model of a QoS change and an execution state model of an executing composite service for computing the CIP. To bring the proposed approach to fruition, we develop a prototype system and apply the approach to a loan rate query service for illustration.