在使用提交屏障调度的事务处理系统中容忍拜占庭错误

Ben Vandiver, H. Balakrishnan, B. Liskov, S. Madden
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引用次数: 101

摘要

本文描述了一种用于处理事务处理数据库系统中拜占庭式故障的复制方案的设计、实现和评估。该方案比较来自多个副本的查询和更新的答案,这些副本是未修改的,现成的系统,以提供一个拜占庭式容错的单一数据库。当副本是同构的时,该方案有效,但它也允许来自不同供应商的副本的异构复制。异构副本减少了错误和安全危害的影响,因为它们是独立实现的,因此不太可能遭受相关故障。为事务处理系统设计复制方案的主要挑战是确保不同的副本以相同的串行顺序执行事务,同时允许高度并发性。我们的方案使用一种新的并发控制协议——提交屏障调度(CBS)来实现这一目标。我们在复制SQL数据库HRDB(异构复制数据库)的上下文中实现了CBS,该数据库已经使用几个商业和开源数据库的未修改生产版本作为副本进行了测试。我们的实验表明,可以容忍一个错误副本的HRDB配置只有适度的性能开销(对于TPC-C基准测试约为17%)。HRDB成功地掩盖了在实践中观察到的几个拜占庭错误,我们已经用它来发现MySQL中的一个新错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tolerating byzantine faults in transaction processing systems using commit barrier scheduling
This paper describes the design, implementation, and evaluation of areplication scheme to handle Byzantine faults in transaction processing database systems. The scheme compares answers from queries and updates on multiple replicas which are unmodified, off-the-shelf systems, to provide a single database that is Byzantine fault tolerant. The scheme works when the replicas are homogeneous, but it also allows heterogeneous replication in which replicas come from different vendors. Heterogeneous replicas reduce the impact of bugs and security compromises because they are implemented independently and are thus less likely to suffer correlated failures. The main challenge in designing a replication scheme for transactionprocessing systems is ensuring that the different replicas execute transactions in equivalent serial orders while allowing a high degreeof concurrency. Our scheme meets this goal using a novel concurrency control protocol, commit barrier scheduling (CBS). We have implemented CBS in the context of a replicated SQL database, HRDB(Heterogeneous Replicated DB), which has been tested with unmodified production versions of several commercial and open source databases as replicas. Our experiments show an HRDB configuration that can tolerate one faulty replica has only a modest performance overhead(about 17% for the TPC-C benchmark). HRDB successfully masks several Byzantine faults observed in practice and we have used it to find a new bug in MySQL.
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