基于非确定性推理的网构软件服务质量动态评估方法

提出了网构软件环境下一种基于非确定性推理的构件服务质量动态评估方法.该方法基于贝叶斯网络,其主要特点在于考虑了用户对构件的QoS需求,可以预测在用户多种QoS需求下采用分级策略的构件服务能力,支持评估模型的动态更新,提高了评估结果的准确性.在自主开发的服务协同总线(Once-SCB)平台上进行了应用与验证,结果表明,该评估模型准确、有效,可以在用户多种QoS需求下为其选择最为合适的构件.

A Dynamic QoS Assessment Approach for Internetware with Uncertainty Reasoning

This paper proposes a dynamic QoS assessment approach for Intemetware with uncertainty reasoning. The salient feature of this approach is that it's based on Bayesian network,and can correctly predict the component's service capability in various combinations of users'QoS requirements,especially to the entities with different service levels.Through online learning,it supports to update the Bayesian network dynamically and improves the accuracy of prediction result.The proposed QoS assessment model has been implemented in the developed Service Coordination Bus (Once-ESB).The experimental results show that it is effective.