利用零外部性实现快速复制存储

Q3 Computer Science Operating Systems Review (ACM) Pub Date : 2021-10-26 DOI:10.1145/3477132.3483543
Aishwarya Ganesan, R. Alagappan, A. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
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引用次数: 6

摘要

是否某些存储接口比其他存储接口提供更高的性能?能否识别并利用这些接口来实现存储系统的高性能?本文通过识别存储接口的非外部性,对这些问题给出了肯定的回答。非外部化(nilext)接口可以修改存储系统内的状态,但不会将其效果或系统状态立即外部化到外部世界。因此,存储系统可以延迟应用next操作,从而提高性能。在本文中,我们利用nilext接口来构建高性能的复制存储。我们实现了Skyros,这是一种可感知next的复制协议,它通过延迟排序和执行操作来提供高性能,直到它们的效果被外部化。我们展示了利用零外部性提供了显著的好处:对于许多工作负载,Skyros提供了比标准的基于共识的复制更高的性能。例如,Skyros的延迟降低了3倍,同时提供了与吞吐量优化的Paxos相同的高吞吐量。
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Exploiting Nil-Externality for Fast Replicated Storage
Do some storage interfaces enable higher performance than others? Can one identify and exploit such interfaces to realize high performance in storage systems? This paper answers these questions in the affirmative by identifying nil-externality, a property of storage interfaces. A nil-externalizing (nilext) interface may modify state within a storage system but does not externalize its effects or system state immediately to the outside world. As a result, a storage system can apply nilext operations lazily, improving performance. In this paper, we take advantage of nilext interfaces to build high-performance replicated storage. We implement Skyros, a nilext-aware replication protocol that offers high performance by deferring ordering and executing operations until their effects are externalized. We show that exploiting nil-externality offers significant benefit: for many workloads, Skyros provides higher performance than standard consensus-based replication. For example, Skyros offers 3x lower latency while providing the same high throughput offered by throughput-optimized Paxos.
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来源期刊
Operating Systems Review (ACM)
Operating Systems Review (ACM) Computer Science-Computer Networks and Communications
CiteScore
2.80
自引率
0.00%
发文量
10
期刊介绍: Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.
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