传统的云计算Hadoop 分布式多层体系架构数据检索模块难以满足云计算下大数据非结构的稳定性检索需求，因此采用需要结合存储非结构化大数据的特点，塑造新的集群的基础环境，通过云、端并重的形式，实现大数据非结构的稳定性检索。引入一种非结构大数据索引框架，作为非结构化数据库，当成数据检索引擎，改进云计算下大数据非结构的检索服务，给出检索技术在检索非结构化大数据过程中的关键代码。实验结果表明，所设计系统在检索云计算下非结构大数据的过程中，具有较高的查准率和较低的检索时间，可实现非结构云数据的稳定性检索。%It is difficult for the traditional cloud computing Hadoop distributed multi⁃layer architecture data retrieval module to meet the demand of the unstructured big⁃data stability retrieval in the cloud computing,so it is necessary to combine the characteristics of the unstructured large data storage,shape a new clustering basic environment,and pay equal attention to the form of cloud and end,to realize the stability retrieval of the unstructured big data. A big data index framework is taken as a un⁃structured database and as a data retrieval engine to improve the unstructured data retrieval service in cloud computing,and give the key code of the retrieval in the process of unstructured big data retrieval. Experiment result shows that the designed sys⁃tem,in the process of unstructured big data retrieval in the cloud computing,has high precision and short retrieval time,and can realize the stability retrieval of the structured cloud data.
展开▼
