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出 处:《计算机仿真》2016年第10期408-411,共4页Computer Simulation
摘 要:对嵌入式多媒体数据结构进行堆栈调度控制,可以完善嵌入式多媒体系统的构建过程。由于嵌入式多媒体数据结构多样,使得数据结构特征不能统一。采用传统控制算法时,主要通过数据结构特征进行调度控制,很容易产生数据堆栈拥塞问题。为解决上述问题,提出采用多参数神经网络的嵌入式多媒体数据结构堆栈调度控制方法。将嵌入式多媒体资源需求度参数和任务紧急程度的表征参数作为神经网络的输入变量;将控制数据堆栈任务优先级作为输出变量,采用动态权重算法确定各数据结构堆栈任务优先级,组建数据结构堆栈调度控制模型,实现了对嵌入式多媒体数据结构堆栈调度控制。仿真结果表明,采用改进的方法具有良好的动态控制性与调度均衡性,并有效的保证了嵌入式多媒体数据的稳定性。Stack scheduling control of embedded multimedia data structure can improve the construction process of embedded multimedia system. Due to the diversity of embedded multimedia data structure,the data structure cannot be unified. Traditional control algorithm is mainly through the characteristics of the data structure to make scheduling control,and it is easy to generate data stack congestion. To solve the above problems,a stack scheduling control method for embedded multimedia data structure based on multi- parameter neural network is proposed. The parameters of the demand degree of embedded multimedia resources and the parameters of the urgency degree of tasks are as input variables of the neural network,and the controlling task priority of the data stack are as output variables. The dynamic weight algorithm is used to determine the task priority of stack of data structure,the control model of stack of data structure is set up,and the stack scheduling control of the embedded multimedia data structure is realized. The simulation results show that the improved method has good dynamic control and scheduling balance,and guarantees the stability of embedded multimedia data.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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