中文摘要：

针对集中式存储方案无法对海量地图瓦片进行有效存储和管理这一问题，基于Hadoop云计算框架，结合HBase分布式数据库、MapReduce并行计算框架和Hilbert空间填充曲线，设计实现了一种地图瓦片云存储系统。该系统在对地图瓦片提供海量存储能力的同时，还可以对瓦片数据进行快速入库和高效查询，为海量瓦片数据的存储提供了新方案。

英文摘要：

To solve the problem that centralized storage tech- nology cannot store and manage massive map tiles efficient ly, a Hadoop cloud computing framework, combining HBase distributed database, MapReduce parallel processing frame- work and Hilbert curve, is developed to design and imple ment a cloud storage system for map tiles. Experimental re- sult shows that this system can not only provide mass stor- age capacity for map tiles, but also import and query map tiles more quickly, which provides a new way for storaging massive map tiles.