基于遗传迭代优化的云计算下海量数据分类查询  

Classification Query of Huge Amounts of Data in Cloud Computing Environment Based on Genetic Optimization

作　　者：李志虹[1] 

机构地区：[1]楚雄师范学院,信息科学与技术学院,云南楚雄675000

出　　处：《科技通报》2015年第6期34-36,共3页Bulletin of Science and Technology

摘　　要：由于传统的数据分类查询方法查询失效所承担的额外操作代价不同,无法有效实现优化分类查询,提出一种基于变异遗传散布的云计算环境下海量数据优化分类查询方法,对于含有云计算环境下海量数据的数据库,给出遗传迭代查询散布及数据间的查询响应函数,获取云计算环境下海量数据灰度散布值,融入遗传执行算子数据,获取遗传变异散布分类查询系数,在充分宽的尺度和平移区域中获取最大类别之间的匹配值,得到数据查询响应函数,将其转换成变异遗传散布控制量,从而实现云计算环境下海量数据的优化分类查询。仿真实验结果表明,所提方法具有很高的精度。Because the traditional classification of data query method query failure extra operating cost is different, can't ef?fectively query optimization classification, presents a cloud computing environment based on genetic spread huge amounts of data query optimization classification method, for the database that contain huge amounts of data cloud computing envi?ronment, genetic iterative query distribution and data between the query response function, access to huge amounts of data cloud computing environment gray spreading value, integrated into the genetic data, perform operator for genetic variation distributed classification check coefficient, in wide area of scale and translation for adequately to obtain largest category of match between value, response function data query, convert them to mutation genetic distribute control quantity, so as to re?alize the cloud computing environment of huge amounts of data query optimization classification. The simulation results show that the proposed method has high precision.

关 键 词：云计算 海量数据 分类查询 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]