CAJ | 학술논문

为应对用电信息大数据存储和处理的挑战，构建了关系数据库与MongoDB数据库混合存储的云存储架构。首先，根据用电数据存储容量和速率的需求，提出基于MongoDB的前置通信平台大数据存储机制，并从数据存储、可用性、均衡策略和读写分离4个方面分析了其中的关键技术和优化机制。然后，针对目前 MongoDB 数据均衡策略的不足，结合数据节点负载的差异，对均衡策略进行优化，实现了数据量和负载的动态均衡。前置通信平台的实践应用分析验证了基于MongoDB的大数据存储机制具有高并发读写性能和良好的可行性。
위응대용전신식대수거존저화처리적도전，구건료관계수거고여MongoDB수거고혼합존저적운존저가구。수선，근거용전수거존저용량화속솔적수구，제출기우MongoDB적전치통신평태대수거존저궤제，병종수거존저、가용성、균형책략화독사분리4개방면분석료기중적관건기술화우화궤제。연후，침대목전 MongoDB 수거균형책략적불족，결합수거절점부재적차이，대균형책략진행우화，실현료수거량화부재적동태균형。전치통신평태적실천응용분석험증료기우MongoDB적대수거존저궤제구유고병발독사성능화량호적가행성。
To deal with challenges of large electricity information data storage and processing, a cloud storage architecture mixing relational database with MongoDB database is built. According to demands of electricity data storage capacity and rate, large data storage mechanism for front communication platform based on MongoDB is presented, and key technology and optimization mechanism are analyzed in four aspects, i.e. data storage, availability, balancing distribution and read/write splitting. For shortcomings in MongoDB data equilibrium strategy and load difference between data nodes, equilibrium is optimized to realize dynamic equilibrium of data volume and load. Practical application confirms that big data storage mechanism based on MongoDB applied in front communication platform has good feasibility and high concurrent read and write performance.