海量通信数据管理平台的设计与实现

Design and Implementation of Massive Communication Data Management Platform

针对现有数据库系统在处理包含大量非结构化的通信数据表现出效率不高的问题,论文设计和实现了一种基于MongoDB数据库集群技术的海量数据管理平台。该平台针对通信数据具有的规模大、类型多样、关联性弱和附加价值高等特点,采用了Mongo数据库集群技术、故障转移技术和负载均衡等技术,为海量通信数据的管理提高了可靠、高效的集群存储环境。测试表明,该平台在多种操作场景下都有优异的海量通信数据存储和处理的性能表现。

In view of the existing database system in the treatment of non structured data contains a large number of communication show the efficiency is not high,this paper designs and implements a massive data management platform for distributed database cluster technology based on MongoDB. The platform for data communication with the large scale,and various types of weak connection and high value-added features,using Mongo technology,distributed database cluster failover technology and load balancing technology,improve the reliability and efficiency of the distributed storage environment for mass communication data management. Tests show that the platform has excellent performance in mass communication,data storage and processing under various scenarios.