分布式数据库系统中最优的多编程粒度和程度

K. H. Pun, G. Belford
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引用次数: 3

摘要

对于使用锁定机制进行并发控制的单站点数据库系统(SDBS)来说,粒度(物理锁的大小)和多编程程度(允许并发运行的事务的最大数量)的最佳选择已经被许多研究人员研究过,但是对于分布式数据库系统(DDBS)来说还没有研究过。利用仿真模型,研究了DDBS在各种应用和系统环境下的问题。特别地,我们考虑了:预先索赔和按需索赔锁定策略;三种不同的颗粒位置;两种不同的交易规模;还有两种不同的通信延迟。然后得出关于不同环境中粒度的最佳选择和多程序设计程度的结论,为在DDBS中实现良好性能提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal granularity and degree of multiprogramming in a distributed database system
The optimal choices of granularity (size of a physical lock) and the degree of multiprogramming (maximum number of transactions allowed to run concurrently) for a single-site database system (SDBS) using a locking mechanism for concurrency control have been investigated by many researchers, but the case for a distributed database system (DDBS) has not been examined. Using a simulation model, we study the problem for a DDBS in various application and system environments. In particular, we have considered: the preclaim, and the claim-as-needed locking policies; three different granule placements; two different transaction sizes; and two different communication delays. Conclusions concerning the optimal choices of granularity and the degree of multiprogramming in different environments are then drawn to provide guidelines in achieving good performance in a DDBS.
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