SDN框架下不良数据计算机网络管理系统设计

近年来,随着互联网的飞速发展,网络信息交互量不断增大。各类不良网络交互信息数据充斥着网络交互空间,给网络社交秩序造成破坏。为此,一系列网络不良数据管理系统孕育而出。通过长期实践发现,传统不良数据计算机网络管理系统的管理方式存在不良数据动态检测性不强、不良信息数据内容识别度低、不良数据管理逻辑性差等问题。通过与SDN框架的优势相结合,提出SDN框架下不良数据计算机网络管理系统设计。采用NVR数据量交互模块、数据特征DNA内容识别算法与大数据统筹规划模块,对传统不良数据管理系统方式中存在的问题进行解决。通过实验证明,提出的SDN框架下不良数据计算机网络管理系统比传统的数据管理系统,在不良数据识别、检测、统计、管理等方面上具有绝对优势。

SDN bad data within the framework of the computer network management system design

in recent years, along with the rapid development of Internet, an increasing amount of network information interaction. All kinds of bad network interactive information data with network interactive space, damage to the social order. To this end, a series of bad network data management system is developed. Commonly found long-term practice, traditional bad data computer network management system of dynamic management way is bad data detection is not strong, bad information data content, such as low recognition and poor poor data management logic problem. Combined with the advantages of SDN framework, put forward the framework of SDN bad data computer network management system design. The NVR data interaction module, the data characteristics of DNA content recognition algorithms and big data poor overall planning module for the traditional data management system to solve the problems in the way. Is put forward under the framework of SDN is proved by experiments and bad data computer network management system than traditional don''t want to data management system, in bad data identification, detection, statistics, management, and other aspects have absolute advantage.