Network digital media refactoring resource dynamic allocation method

Abstract

With the continuous development of new media and network information technology, more and more reconfigurable resources of network digital media are needed to build a reconfigurable resource allocation model in network space. The dynamic allocation method of network digital media reconfigurable resources based on multi-source feature fusion cluster analysis is feasible to a certain extent. Combined with the result of feature extraction, the dynamic allocation of reconfigurable resources is realized. Research on the reconfigurable resource allocation method of network digital media is of great significance in improving the utilization capacity of network resources. Traditional method, the dynamic network reconfigurable digital media resources allocation methods mainly include dynamic allocation method based on the characteristics of correlation analysis, PCA principal component analysis method of dynamic allocation and dynamic allocation of fusion k-means clustering method and so on, USES the statistical features extraction and autocorrelation detection, realize reconfigurable dynamic allocation of resources, However, the traditional method of resource allocation has poor fitness and weak feature identification ability, so it needs to be changed. This paper mainly describes the dynamic allocation method of reconfigurable resources of network digital media, aiming at strengthening the allocation of network digital media resources, so as to further improve the dynamic allocation ability of reconfigurable resources and speed up the application of network digital media.