一种基于公共地标配置的云数据定位算法

A cloud data location algorithm based on public landmark configuration

获取存储在云端的数据的地理位置对很多用户来说十分重要,但云服务提供商通常不对外共享其数据中心的地理位置,导致准确获取云中数据地理位置面临极大困难。针对该问题,提出了基于公共地标配置的云数据定位方法,该方法利用公共的非学术性节点作为地标,利用延迟最小筛选策略从中挑选出最优地标,基于多点定位思想确定云数据的地理位置。实验结果表明,该方法在不降低现有基于延迟的定位方法定位精度的同时,明显减少了经济开销,且实用性更强。

It is very important for many users to get the geographic location of data stored in the cloud, but the cloud service provider usually does not share the geographic location of its data center, which leads to a great difficulty in obtaining the location of data in the cloud. To solve this problem, this paper proposes a cloud data location method based on public landmarks configuration. This method uses public non academic nodes as landmark, and selects the best landmark from the delay minimum filtering strategy, and determines the geographic location of the cloud data based on the multi point positioning idea. Experimental results show that the proposed method can significantly reduce the economic cost and improve practicability without reducing the positioning accuracy of the existing delay based localization methods.