分布式网络数据同步技术的应用研究

数据库是现代信息系统的重要组成部分,基于分布式网络数据同步技术的数据库系统,一方面采用分布式存储技术提高数据库的容量上限,保证数据的完整性;另一方面又能通过数据同步技术减少数据冗余、消除数据不一致性,提高数据利用价值。文章首先简要介绍分布式网络数据同步技术,随后在分布式网络环境下构建完全对等数据同步模型,并概述该模型的节点协调策略和数据同步流程,随后通过仿真实验验证基于节点协调的数据同步模型,比传统模型在数据更新方面具有更高效率。最后以某网络安全监管系统为例,分别从注册新节点、新节点初始化以及完全对等数据同步等方面,总结分布式网络数据同步技术的应用策略。

The database is an important part of the modern information system.The database system based on the distributed network data synchronization technology,on the one hand,adopts the distributed storage technology to improve the upper limit of the capacity of the database and ensures the integrity of the data;data synchronization technology reduces data redundancy,eliminates data inconsistency,and improves data utilization value.This paper first briefly introduces the distributed network data synchronization technology,and then builds a complete peer-to-peer data synchronization model in the distributed network environment,and outlines the node coordination strategy and data synchronization process of the model.The coordinated data synchronization model is more efficient in data update than the traditional model.Finally,taking a network security monitoring system as an example,the application strategies of distributed network data synchronization technology are summarized from the aspects of registering new nodes,initializing new nodes,and completing peer-to-peer data synchronization.