摘要
研究海量信息存储过程中的数据库性能优化问题。假设数据库中存在海量信息,则数据库信息查询需要耗费大量的时间,无法满足当今社会的信息需求。因此,需要对数据库性能进行优化处理,提高数据库查询的效率。为此,提出了一种基于云计算的数据库性能优化方法。建立云计算数据关系模型,描述数据库中相关数据之间的联系,从而为数据查询提供依据。计算数据节点的负载状态,从而实现数据库中信息的快速查询。实验结果表明,这种算法能够有效提高数据库查询效率,取得了令人满意的效果。
The storage of great capacity information in the process of the database performance optimization problem.Assume that existing in the database of the mass information,the database information query need to spend a lot of time,can＇t meet the information demand in today＇s society.Therefore,it is necessary to optimize the database performance processing,improve the efficiency of the database query.Therefore,this paper proposes a based on cloud computing database performance optimization method.Establish cloud computing data relation model,describes the relevant data in the database connection between,so as to provide a basis for data query.Calculating data node load state,so as to realize the database information fast query.The experimental results show that this algorithm can effectively improve the database query efficiency,has made the satisfactory effect.
出处
《科技通报》
北大核心
2013年第3期162-164,187,共4页
Bulletin of Science and Technology
基金
河南省教育厅2011年度自然科学研究计划项目2011C520007
关键词
海量信息
数据库性能
云计算
huge amounts of information
the database performance
cloud computing
