音乐:地理分布状态下的多站点关键部分

Bharath Balasubramanian, P. Zave, R. Schlichting, Mohammad Salehe, S. Narayanan, S. H. Mortazavi, E. D. Lara, M. Hiltunen, Kaustubh R. Joshi, Gueyoung Jung
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引用次数: 0

摘要

许多在全球范围内运行的多站点生产服务的一个关键要求是需要独占访问最新状态。本文提出了一种新的方法,通过抽象地理分布状态上的临界区域来满足这些需求。这种抽象是在一个名为MUSIC的键值存储中实现的,它为关键部分提供了适合地理分布状态的新语义,这种状态称为故障下的条目一致性(ECF)。介绍了MUSIC中ECF的语义、它的形式化验证及其实现,以及如何使用MUSIC来实现各种基本地理分布式结构范例的细节。作为开放网络自动化平台(ONAP)的一部分,MUSIC已经部署在AT&T的生产地理分布式服务中。我们对MUSIC的评估表明,尽管提供了额外的属性,对于更大的临界区大小,MUSIC具有比Zookeeper更高的吞吐量(~1.4-17.17倍),并且优于使用Paxos或CockroachDB事务进行状态更新的类似结构(~2-4倍)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MUSIC: Multi-Site Critical Sections over Geo-Distributed State
A crucial requirement for many multi-site production services operating at global scale is the need for exclusive access to latest state. Here, a novel approach to address these requirements through the abstraction of a critical section over geo-distributed state is proposed. This abstraction is realized in a key-value store called MUSIC, which provides critical sections with novel semantics suitable for geo-distributed state referred to as entry consistency under failures (ECF). The semantics of ECF in MUSIC, its formal verification, and its implementation are presented, along with details of how MUSIC has been used to realize various fundamental geo-distributed structuring paradigms. MUSIC has been deployed in production geo-distributed services at AT&T as part of the Open Network Automation Platform (ONAP). Our evaluation of MUSIC shows that, despite providing additional properties, MUSIC has higher throughput (~1.4-17.17 times) than Zookeeper for larger critical section sizes and outperforms (~2-4 times) similar structures in which state updates use Paxos or CockroachDB transactions.
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