Augustus: scalable and robust storage for cloud applications

Ricardo Padilha, F. Pedone
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引用次数: 20

Abstract

Cloud-scale storage applications have strict requirements. On the one hand, they require scalable throughput; on the other hand, many applications would largely benefit from strong consistency. Since these requirements are sometimes considered contradictory, the subject has split the community with one side defending scalability at any cost (the "NoSQL" side), and the other side holding on time-proven transactional storage systems (the "SQL" side). In this paper, we present Augustus, a system that aims to bridge the sides by offering low-cost transactions with strong consistency and scalable throughput. Furthermore, Augustus assumes Byzantine failures to ensure data consistency even in the most hostile environments. We evaluated Augustus with a suite of micro-benchmarks, Buzzer (a Twitter-like service), and BFT Derby (an SQL engine based on Apache Derby).
Augustus:用于云应用程序的可伸缩和健壮的存储
云规模的存储应用有严格的要求。一方面,它们需要可扩展的吞吐量;另一方面,许多应用程序将在很大程度上受益于强一致性。由于这些需求有时被认为是相互矛盾的,因此该主题在社区中产生了分裂,一方不惜任何代价捍卫可伸缩性(“NoSQL”一方),另一方坚持久经考验的事务性存储系统(“SQL”一方)。在本文中,我们介绍了Augustus,这是一个旨在通过提供具有强一致性和可扩展吞吐量的低成本交易来弥合双方的系统。此外,奥古斯都假定即使在最恶劣的环境中,拜占庭故障也能确保数据的一致性。我们使用一套微型基准测试、Buzzer(类似twitter的服务)和BFT Derby(基于Apache Derby的SQL引擎)对Augustus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。
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