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Detection of mutual inconsistency in Distributed Databases

机译:分布式数据库中相互不一致的检测

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A Distributed Database Management System should guarantee the consistency of databases at all sites in the system. In particular when the databases are replicated, mutual consistency among all copies of an item should be maintained. Concurrency control mechanisms achieve this when there are no failures, but they fail when failures occur. Network partitioning is a hard kind of failure to deal with and mutual consistency among copies of items cannot be taken for granted in presence of a partitioning. A simple scheme is presented in this paper to detect mutual inconsistency when partitioned databases merge. This scheme is similar to that of Parker et al [7] in spirit and is more general than theirs. In contrast to Davidson's [3] where some amount of information is maintained about each transaction run after the partition, we maintain some information with each data item accessed after the partition.
机译:分布式数据库管理系统应保证系统中所有站点的数据库的一致性。特别是在复制数据库时,应保持项目所有副本之间的相互一致性。并发控制机制可以在没有故障的情况下实现这一目标,但是在发生故障时会失败。网络分区是一种很难处理的问题,在存在分区的情况下,项目副本之间的相互一致性是不可行的。本文提出了一种简单的方案来检测分区数据库合并时的相互矛盾。这个方案在本质上类似于Parker等人的方案[7],并且比他们的方案更笼统。与Davidson的[3]相比,在分区之后运行的每个事务都保留了一些信息,而在分区之后访问的每个数据项都保留了一些信息。

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