多媒体设备管理资源数据调度方法研究

Multimedia Equipment Management Resources Data Scheduling Method Research

对多媒体设备管理资源数据进行合理调度,可提高多媒体设备的管理效率。进行资源数据调度时,应构造资源数据调度模糊相似度矩阵,用以计算相似度阈值,利用阈值对资源数据分类后,进行调度。而传统的内存管理的调度方法是通过建立多媒体设备管理资源数据调度模型完成调度,但调度模型中缺少数据的相似度阈值,不能完成数据分类,降低了调度的效率。提出一种改进熵空间的多媒体设备管理资源数据调度方法。该方法先采用熵空间粒度算法计算出设备任务节点请求平均等待时间、资源数据和节点的利用率,并设计出系统的层次式资源数据有向图。利用模糊聚类算法组建资源数据调度模糊相似度矩阵,并给出相似度阈值,并利用上述阈值进行聚类,以聚类的结果为依据可有效地完成对多媒体设备管理资源数据调度。仿真结果表明,上述算法可以显著地提升多媒体设备管理资源的利用率。

An improved method of resource data scheduling for multimedia device management in the entropy space is proposed.The average waiting time,the resource data and the utilization rate of the device tasked nodes are firstly calculated by the entropy space granularity algorithm,and then the hierarchical resource data of the system are designed.The similarity threshold is obtained through fuzzy clustering algorithm based on resource data scheduling fuzzy similarity matrix.The resource data scheduling of multimedia equipment management is effectively accomplished according to the results of clustering.Simulation results show that the proposed algorithm can significantly improve the utilization of multimedia equipment management resources.