面向云计算的数据库优化策略与性能分析  

Database Optimization Strategy and Performance Analysis for Cloud Computing

作　　者：刘康 LIU Kang(Lianyungang Public Resource Trading Center,Lianyungang Jiangsu 222006)

机构地区：[1]连云港市公共资源交易中心,江苏连云港222006

出　　处：《软件》2024年第8期132-134,共3页Software

摘　　要：云计算的迅速发展对数据库性能提出了全新的要求。动态资源调度、多租户架构以及网络延迟等因素给数据库高效运行带来了阻碍。在此背景下,采用优化存储、查询和分布式数据库策略,能够有效提升数据库的运行效率。借助先进的技术手段,如数据分片、索引优化、负载均衡等,数据库系统可以在云环境中实现更高的吞吐量、更短的响应时间以及更合理的资源利用率。经过实验评估,优化策略在性能表现上取得了显著提升,并为云计算数据库的进一步优化提供了有力支持。The rapid development of cloud computing has put forward new requirements for database performance.Factors such as dynamic resource scheduling,multi tenant architecture,and network latency have hindered the efficient operation of databases.In this context,adopting optimized storage,query,and distributed database strategies can effectively improve the operational efficiency of the database.By utilizing advanced technologies such as data sharding,index optimization,and load balancing,database systems can achieve higher throughput,shorter response times,and more efficient resource utilization in cloud environments.After experimental evaluation,the optimization strategy has achieved significant improvement in performance and provided strong support for further optimization of cloud computing databases.

关 键 词：云计算 数据库优化 性能分析 分布式数据库 

分 类 号：F204[经济管理—国民经济]