摘要
纯数据流驱动(DHDF)已经在信息处理中得到了广泛应用,事件触发并发数据流模型(ECDF)引入了优先级线程和事件触发机制,提高了信息处理系统的实时性和运行效率。但应用于信息处理平台时,事件触发并发数据流模型不能对组件间的执行顺序提供参数支持,导致应用响应实时性不高。文章在研究纯数据流驱动和事件触发并发数据流模型的基础上,在模型中加入了组件优先级以及组件端口共享缓存等元素,提出适用于信息处理平台的新型组件数据流驱动模型(NDFD)。仿真结果表明新型数据流驱动模型能有效提高系统资源的利用率和响应实时性。
Data-flow-driven(DHDF) has been widely used in information processing,and the event triggered concurrent dataflow model(ECDF) improves the timeliness and efficiency of information processing system by introducing a priority threads and event trigger mechanism.However,when applied to an information processing platform,the model can not provide parameter support for component execution order.Based on Data-flow-driven and the event triggered concurrent dataflow model,an event-triggered dataflow driven mechanism is designed for signal processing platform.By adding component priority,component caching and other elements,the model greatly enhances the execution efficiency and response speed of the platform.
出处
《信息工程大学学报》
2017年第5期585-589,共5页
Journal of Information Engineering University
关键词
信息处理平台
数据流驱动
组件
signal processing platform
data-flow-driven
component
