摘要
传统的两阶段工作流工作模式严重阻碍了工作流柔性的提高,从生物适应的角度,提出了一种基于动态实例的柔性工作流建模模式,该模式下的工作流模型能够通过在不同环境中的实例实现工作流柔性;给出了该模式下柔性工作流活动的可扩展属性、方法和动态控制连接弧等的形式化描述;基于自主计算技术引入了嵌入柔性工作流活动的自主元模型,使用基于加权因子的可信度方法对自主元的推理知识表达,提高了柔性工作流的智能性;给出了动态实例建模模式柔性工作流完备性原则;最后给出了一个柔性工作流建模和自主元知识推理的实例,并对实例的完备性进行了分析。
In view of biology adaptation, a flexible workflow modeling method based on dynamic instance is proposed to overcome the shortcoming of lacking flexibility in the conventional two-stage workflow modeling method. Different dynamic instances can be embodied from the workflow model in different runtime environment to realize the flexible workflow. In this method, the formalized expression of extensible attribute, method, and dynamic control arc in activity of the flexible workflow model is defined, and Autonomic Object （AO） embedded in the activity is introduced to improve the intelligence of flexible workflow. The AO is based on autonomic computing technology and the weighted certainty factor is applied to expressing the reasoning knowledge of AO. Completeness principles of flexible workilow based on dynamic instance modeling is given. An instance of flexible workflow modeling and AO knowledge reasoning is introduced, and completeness of the instance is analyzed finally.
出处
《机械科学与技术》
CSCD
北大核心
2007年第11期1413-1417,共5页
Mechanical Science and Technology for Aerospace Engineering
关键词
柔性
工作流
动态实例
自主计算
完备性
flexibility
workflow
dynamic instance
autonomic computing
completeness
