An efficient algorithm for causal message logging

Byoungjoo Lee, T. Park, H. Yeom, Yookun Cho
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引用次数: 15

Abstract

Causal message logging has many good properties such as nonblocking message logging and no rollback propagation. However, it requires a large amount of information to be piggybacked on each message, which may incur severe performance degradation. This paper presents an efficient causal logging algorithm based on the new message log structure, LogOn, which represents the causal interprocess dependency relation with much smaller overhead compared to the existing algorithms. The proposed algorithm is efficient in the sense that it requires no additional information other than LogOn to be carried in each message, while the other algorithms require extra information other than the message log, to eliminate the duplicates in log entries. Moreover, in those algorithms, as more extra information is added into the message, more duplicates can be detected. However, the proposed algorithm achieves the same degree of efficiency using only the message log carried in each message, without any extra information.
一种有效的因果消息记录算法
因果消息日志记录具有许多良好的属性,例如非阻塞消息日志记录和无回滚传播。然而,它需要在每条消息上装载大量的信息,这可能会导致严重的性能下降。本文提出了一种基于新的消息日志结构LogOn的高效因果日志算法,该算法与现有的算法相比,具有更小的开销,能够表示进程间的因果依赖关系。所提出的算法是有效的,因为它不需要在每条消息中携带除LogOn以外的其他信息,而其他算法需要除消息日志以外的其他信息,以消除日志条目中的重复。此外,在这些算法中,随着更多的额外信息被添加到消息中,可以检测到更多的重复。然而,所提出的算法只使用每条消息中携带的消息日志,而不使用任何额外的信息,从而达到相同程度的效率。
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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