Design of New Media Data Processing System

Hui Shan, Hongshen Zhang, Xueming Mi
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Abstract

This paper is mainly for the design of new media data processing system. The research of new media data processing shows that the traditional database processing new media data is more and more huge, which causes the operating system to do a lot of output and input operations (I / O) when querying, and the processing speed is slow. Through the analysis, the main reason that affects the new media data processing is the large amount of data. In this paper, Bayesian algorithm classifier model is used, and Map/Reduce function is used in the parallel computing framework. Multi computing resource nodes are used for parallel processing to effectively improve the speed of new media data processing.
新媒体数据处理系统设计
本文主要针对新媒体数据处理系统进行设计。对新媒体数据处理的研究表明,处理新媒体数据的传统数据库越来越庞大,导致操作系统在查询时需要做大量的输出和输入操作(I / O),处理速度较慢。通过分析,影响新媒体数据处理的主要原因是数据量大。本文采用贝叶斯算法分类器模型,并行计算框架采用Map/Reduce函数。采用多计算资源节点并行处理,有效提高新媒体数据处理速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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