分布式系统中消息延迟相关性的评估

Daniel Albeseder
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引用次数: 7

摘要

部分同步计算模型介于同步模型和纯异步模型之间,前者在需求方面要求很高,但承认大多数重要的容错分布式计算问题的解决方案,而后者并非如此。/spl otimes/-模型是最近提出的接近纯异步的部分同步模型。它只是假设同时传输的消息的最大端到端延迟与最小端到端延迟之比有一个界限。本文为一些常见类型的分布式系统中端到端延迟的假设相关性提供了实验证据:使用一个全面的自定义评估框架,我们测量了在连接Linux工作站的快速以太网上运行的简单时钟同步算法中的端到端延迟。我们的研究结果揭示了在几种负载条件下最大和最小延迟之间的显著相关性,从而证实了/spl otimes/-模型的有界比率假设是有根据的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of message delay correlation in distributed systems
Partially synchronous computational models fall in between synchronous models, which are demanding in terms of requirements but admit solutions to most of the important fault-tolerant distributed computing problems, and the purely asynchronous model, where this is not the case. The /spl otimes/-Model is a recently presented partially synchronous model close to pure asynchrony. It just assumes a bound on the ratio of maximum vs. minimum end-to-end delays of messages simultaneously in transit. This paper provides experimental evidence for the assumed correlation of end-to-end delays in some common type of distributed systems: using a comprehensive custom evaluation framework, we measured the end-to-end delays in a simple clock synchronization algorithm running on a fast-Ethernet network connecting Linux workstations. Our results reveal a significant correlation between maximum and minimum delay under several load conditions, and hence confirm that the bounded ratio assumption of the /spl otimes/-Model is well-founded.
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