MMDB部分重载

Le Gruenwald, Jing Huang
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引用次数: 0

摘要

当主内存数据库(MMDB)系统发生系统故障时,永久驻留在易失性内存中的数据库的主副本将丢失。需要将数据库从存档内存重新加载到主内存中才能恢复丢失的副本。已经为并行和多处理器数据库环境设计了几种完整的重载算法,这些算法在主存储器足够大以存储整个数据库时使用。然而,很少有人对部分重新加载进行研究,当只有数据库的一部分可以放入主存时,需要进行部分重新加载。本文提出了三种适用于多处理器主存数据库系统的MMDB部分重载算法,并给出了它们的性能结果,其中最近使用最少的分页方案用于处理页面故障。仿真实验表明,基于数据访问频率的重载产生了最佳的事务响应时间和系统吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MMDB partial reload

When a system failure occurs in a main memory database (MMDB) system, the primary copy of the database which resides permanently in a volatile memory is lost. Reload of the database from archive memory into main memory is needed to recover this lost copy. Several complete reload algorithms, which are used when main memory is large enough to store the entire database, have been designed for a parallel and multi-processor database environment. However, little research has been done for partial reload which is needed when only a part of the database can fit into main memory. This paper proposes three MMDB partial reload algorithms for a multi-processor main memory database system and presents their performance results with the Least Recently Used paging scheme being used to handle page faults. The simulation experiments show that reload based on frequency of data access yields the best transaction response time and system throughput.

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