摘要
从空间数据之间的拓扑关系出发,提出了一种基于角色和权限的GIS并发控制体系,利用用户的权限解决空间数据的拓扑关系问题,将拓扑关系问题演变为不同类型的空间数据集合问题。针对不同类型的空间数据集合,采用了基于角色与权限的封锁粒度,来实现对空间数据及其拓扑关系的统一封锁。由于采用了基于角色与权限的封锁粒度,大大增加了并发控制的复杂性。该文应用多维粒度树,有效地解决了封锁粒度的复杂性问题。
Logical relativities between spatial data are analyzed and then a concurrency control system based on role and pfivilege（R＆P） is presented. It can resolve the problem of topology relativities between spatial data with R＆P by converting topology to spatial data sets of variant types. Corresponding these types, lock granularity based on R＆P is used to realize uniform lock on spatial data and topology relativities between them, As using of lock granularity based on role and privilege, it is much more complex than common currency control system. So the conception of multi-dimension granularity tree （MDG-Tree） is used to resolve the problem.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2006年第7期55-57,共3页
Computer Engineering
关键词
并发控制
空间数据
角色和权限
多维粒度树
Concurrency control
Spatial data
Role and privilege
Multi-dimension granularity tree
