分布式海量空间数据存储结构研究  

Research on Storage Structure of Distributed Massive Spatial Data

作　　者：刘小春[1] 

机构地区：[1]信息工程大学,河南郑州450052

出　　处：《地矿测绘》2014年第1期16-18,22,共4页Surveying and Mapping of Geology and Mineral Resources

摘　　要：目前在分布式海量存储中越来越多的使用键/值存储模型,为此比较了Google Earth键/值存储模型和对象关系数据库存储模型。对象关系数据库以其使用简单,容易共享等特性,在许多实际应用中还有其独特的优势,由于键/值存储模型在可伸缩性等方面的优势,在分布式海量数据存储中应用越来越广泛。At the present key/value data model is used more widely in distributed massive spatial data storage. This paper compares store structure between Google Earth and object-relational database. Since object-relational database is easy to use and share etc, it has its own unique advantages in many practial applications. Because key/value store model has distinct advantage in scalability, it has been widely applied in distributed massive spatial data storage.

关 键 词：BIGTABLE 对象关系数据库 存储结构 分布式海量存储 

分 类 号：TP333[自动化与计算机技术—计算机系统结构] P208[自动化与计算机技术—计算机科学与技术]