基于SDN技术的多进程空间数据云存储方法研究

Research on Cloud Storage Method of Multi Process Spatial Data Based on SDN Technology

由于存储空间被磁盘访问的次数较多,导致数据存储安全性较低,空间数据存储效率较慢,由此提出基于SDN技术的多进程空间数据云存储方法。明确SDN的网络体系结构,通过控制器、接口协议、数据区关键技术构建进程空间数据中心平台,利用Hbase扩展空间数据存储空间,将组织类型在逻辑上对应空间数据的地理特征,降低存储空间被磁盘访问的次数,根据四叉树方式组织栅格影像数据,同时四叉树编码每个栅格图片,完成多进程空间数据存储查询。仿真结果表明,所提方法的多进程空间数据云存储安全性较高,且能快速存储多进程空间数据。

This paper proposed a multi-process spatial data cloud storage method based on SDN technology for improving the security of data storage and the efficiency of spatial data storage. First of all, the network architecture of SDN was defined. Based on the key technologies of the controller, interface protocol, and data area, the central platform of process spatial data was established. Secondly, in order to reduce the number of disk access to storage space, the storage space of HBase extended spatial data was used, and the organization type was logically corresponding to the geographical characteristics of spatial data. Then, based on the quadtree, raster image data were organized, and each raster image was encoded. Eventually, a multi-process spatial data storage query was achieved. Simulation results show that this method has high security and fast storage speed in the cloud storage of multi-process spatial data.