推测并发控制器的实现

Dietmar Posselt, P. Fortier
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引用次数: 2

摘要

为了提高事务响应性,已经开发了许多数据库调度算法。一些开发的算法满足了实时数据库的特殊需求。然而,这些算法处理的是时间执行方面的问题,通常忽略了可以进一步提高性能的数据使用语义。其中一种算法是推测性并发控制,它通过分叉使用执行冗余来提高性能。该算法的简化版本已被实现为面向对象的实时数据库的并发控制器。本文描述了实现的经验,解释了只实现一个子集的原因,并指出了实现完整算法所需的扩展。对算法的性能和可扩展性进行了理论评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a speculative concurrency controller
Many scheduling algorithms for databases have been developed in order to improve transaction responsiveness. Some developed algorithms meet special needs of real-time databases. These algorithms however, deal with temporal execution aspects, often disregarding semantics of data usage which could further improve performance. One such algorithm is speculative concurrency control, which uses execution redundancy by forking to improve performance. A simplified version of this algorithm has been implemented as a concurrency controller for an object oriented real-time database. The paper describes the experiences with the implementation, explains the reasons for only implementing a subset, and indicates required extensions to implement the complete algorithm. Also provided is a theoretical evaluation of the algorithm performance and scalability.
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