强一致全局状态的分层检测

骈文研究 Pub Date : 2004-07-05 DOI:10.1109/ISPDC.2004.30
J. Borkowski
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引用次数: 10

摘要

一致全局状态(CGS)监视通常在中央监视器的帮助下执行。监视器必须接收进程本地状态报告并处理它们。在在线监测环境中,它很容易过载。我们以分层的方式考虑CGS检测。应用程序进程被分成若干组。低级监控器与指定的进程组通信,并向顶级监控器报告部分结果。顶层监控器将接收到的数据组合成CGS。设计了几种用于强CGS检测的分层算法,每种算法使用不同的本地时钟同步模式。分析表明,分层CGS算法在不引入大量额外开销的情况下,有效地分配了CGS监测带来的网络和计算负荷。初步试验结果证实了分析的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical detection of strongly consistent global states
Consistent global state (CGS) monitoring is performed usually with the help of a central monitor. The monitor must receive process local state reports and handle them. In an on-line monitoring environment it can become easily overloaded. We consider CGS detection in a hierarchical way. Application processes are split into groups. Lower-level monitors communicate with an assigned process group and report partial results to the top-level monitor. The top-level monitor combines received data to form CGS. A few variants of hierarchical algorithms for Strongly CGS detection are devised, each variant uses different local clock synchronization pattern. The analysis shows that hierarchical CGS algorithms efficiently distribute network and computational load caused by CGS monitoring without introducing significant additional overhead. The analysis is confirmed by preliminary test results.
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