Incremental Data Migration for Multi-database Systems

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2012-08-08 DOI:10.1109/SNPD.2012.51

K. Higuchi, Wenqian Wang, T. Tsuji

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引用次数: 4

Abstract

Nowadays, database systems are one of the most popular and essential software programs in computer systems. Many computers are installed a database system and users maybe want to use these database systems as one system. The multi-database system is one of the solutions to this request. The multi-database system is a kind of the distributed database system. It is a cluster of independent database systems. As the distributed database system, the multi-database system has some problems. One of these problems is data migration among individual database systems in the multi-database system. Many reorganization techniques for distributed database systems already proposed. But these techniques are not always adaptive to the data migration in the multidatabase system. In order to overcome this problem, we adapt the incremental scheme to the data migration in the multidatabase system. In our new scheme, a large data migration operation is divided into small ones, and other operations are inserted between them. The experimental result proves the improvement of the turn-around times of other operations.

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多数据库系统的增量数据迁移

如今，数据库系统是计算机系统中最流行和最重要的软件程序之一。许多计算机都安装了数据库系统，用户可能希望将这些数据库系统作为一个系统使用。多数据库系统是满足这一要求的解决方案之一。多数据库系统是一种分布式数据库系统。它是一组独立的数据库系统。多数据库系统作为分布式数据库系统，存在着一些问题。其中一个问题是在多数据库系统中各个数据库系统之间的数据迁移。针对分布式数据库系统，已经提出了许多重组技术。但这些技术并不总能适应多数据库系统中的数据迁移。为了克服这一问题，我们将增量方案引入到多数据库系统的数据迁移中。在我们的新方案中，一个大的数据迁移操作被分成几个小的操作，并在它们之间插入其他操作。实验结果证明，该方法可以提高其他操作的周转时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

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