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Research on the Large-scale Database Optimization Algorithm under the Environment of Cloud Computing and Internet of Things

机译:云计算环境下的大规模数据库优化算法及事物互联网

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In this paper, we conduct research on the large-scale database optimization algorithm under the environment of cloud computing and Internet of things. Based on cloud computing technology and huge amounts of data, the database for many aspects of adjustment and optimization to improve the efficiency of the operation of the database system to the greatest extent and reduce the resource consumption of the system operation, making the response of the huge amounts of data greatly increased efficiency. The adjustment and optimization of database including multiple layers, it contains the database runtime environment optimization, the database parameter optimization and application of the optimization of three levels. The numerical analysis proves the feasibility and effectiveness of our proposed approach.
机译:本文在云计算环境下进行了大规模数据库优化算法的研究。 基于云计算技术和大量数据,数据库进行调整和优化的许多方面,以提高数据库系统的运行效率,以最大程度地提高系统操作的资源消耗,使得响应 大量数据大大提高了效率。 数据库的调整和优化,包括多个层,它包含数据库运行时环境优化,数据库参数优化和应用优化三个级别。 数值分析证明了我们提出的方法的可行性和有效性。

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