基于流的状态机复制的通用检查点支持

Laura Lawniczak, Marco Ammon, T. Distler
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引用次数: 0

摘要

通过将状态机复制协议作为数据流处理框架之上的应用程序运行,基于流的复制简化了状态机复制协议的部署和操作。利用平台提供的特性,这种方法可以显著降低协议级别的实现复杂性。为了进一步扩展相关的好处,在本文中,我们将研究如何使用该概念为副本状态的创建、存储和应用检查点提供通用支持,无论是在用于追赶和垃圾收集的用例中,还是在用于恢复失败的副本中。具体来说,我们提出了三种不同平台参与程度的检查点机制设计,并在Twitter的流处理引擎Heron中对它们进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generic Checkpointing Support for Stream-based State-Machine Replication
Stream-based replication facilitates the deployment and operation of state-machine replication protocols by running them as applications on top of data-stream processing frameworks. Taking advantage of platform-provided features, this approach makes it possible to significantly minimize implementation complexity at the protocol level. To further extend the associated benefits, in this paper we examine how the concept can be used to provide generic support for creating, storing, and applying checkpoints of replica states, both in the use case for catch up and garbage collection as well as to recover failed replicas. Specifically, we present three checkpointing-mechanism designs with different degrees of platform involvement and evaluate them in the context of Twitter's stream-processing engine Heron.
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