基于模糊数学理论的实时分布对象编程方法

Realtime Distributed Object Programming Method Based on Fuzzy Mathematics Theory

传统方法编程中实时分布对象对服务请求执行率较低,对此研究了基于模糊数学理论的实时分布对象编程方法。利用相对时间法创建全局时间资源,并通过引入实时分布软件实现实时分布对象在分布式网络节点间动态地移动,通过构建组件参数保证实时分布对象参数在分布式网络上的传输与处理大参数集的多消息交换,并运用模糊数学编码创建实时对象服务请求的API,通过并行通道的构建实现了实时分布对象编程。实验证明,应用提出的方法编程对实时分布对象具有较高的服务请求执行率。

In view of the low execution rate of the real-time distributed object in the traditional programming method,a real-time distributed object programming method based on fuzzy mathematics is proposed.Relative time method is used to create the global resources.Through the introduction of real-time distributed software,real-time distributed object can be moved between nodes in a distributed network dynamically.By building component parameters,real-time distributed object on the distributed network can be transferred,and large parameter set of message exchange can be processed.The fuzzy mathematical object is used to create real-time encoding service request API,through parallel channels real-time distributed object can be programed.Experiments show that the real-time distributed object programmed by this method has a high service request execution rate.