基于云计算的大数据信息管理框架研究  

Research on the Framework of Information Management for Large Data Based on Cloud Computing

作　　者：王艳兵[1] WANG Yan-bing(Department of Electronic Information＆ Huishang Vocational College,Hefei 230000,Chin)

机构地区：[1]徽商职业学院电子信息系,合肥230000

出　　处：《西安文理学院学报（自然科学版）》2018年第3期62-65,共4页Journal of Xi’an University(Natural Science Edition)

基　　金：安徽省质量工程项目(2015zy136);安徽省高等学校自然科学重点项目(KJ2017A892);安徽省高等学校自然科学重点项目(KJ2016A685)

摘　　要：大数据信息管理框架中的各项性能、Qo S以及能耗对大数据信息管理有着重要的影响.在大数据信息管理框架中引用云计算方法,该策略运用三空间分割以及组方式对大数据信息进行有目的性的约束以及云计算,根据大数据信息的变化规律设计大数据信息管理框架.同时,对大数据信息管理框架内的多个区域同时搜索,取得云计算的最优解.通过实验可知:相对于传统算法,本文算法可以更大幅度降低大数据下的资源占用率,优化大数据信息管理系统.The performance,Qo S and energy consumption in the framework of information management for large data have an important impact on the information management of large data.In this paper,the cloud computing method is introduced in the framework of information management for large data. The strategy uses three spatial segmentation and group mode to purposefully restrict the big data information and cloud computing,and design the framework of information management for large data according to the change rule of big data. At the same time,the optimal solution of cloud computing is obtained by searching multiple regions in the framework of information management for large data. The experiment shows that compared with the traditional algorithm,the algorithm can greatly reduce the resource occupancy rate of big data and optimize the information management system of big data.

关 键 词：大数据 信息管理框架 云计算 优化 

分 类 号：G647[文化科学—高等教育学]