为此提出柔性组件模型及其自适应装配建模方法。
To deal with this problem, the flexible components model and its self-adaptive assembly modeling methodology were proposed.
通过消息控制来实现系统各服务组件之间的联系并保持系统的柔性和敏捷性已成为研究的热点。
To achieve the linkage between system components and to maintain the flexibility and agility of systems by message control has become a hotspot now.
根据规约粒度的不同，分别对基于交互学习的柔性工作流模型进行原子级和组件级规约。
On the basis of reduction granularity, it applies atom level reduction and module level reduction to flexible workflow model based on interaction learning.
应用推荐