Dynamo: amazon's highly available key-value store

Giuseppe deCandia, Deniz Hastorun, M. Jampani, Gunavardhan Kakulapati, A. Lakshman, A. Pilchin, S. Sivasubramanian, Peter Vosshall, W. Vogels
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引用次数: 4382

Abstract

Reliability at massive scale is one of the biggest challenges we face at Amazon.com, one of the largest e-commerce operations in the world; even the slightest outage has significant financial consequences and impacts customer trust. The Amazon.com platform, which provides services for many web sites worldwide, is implemented on top of an infrastructure of tens of thousands of servers and network components located in many datacenters around the world. At this scale, small and large components fail continuously and the way persistent state is managed in the face of these failures drives the reliability and scalability of the software systems. This paper presents the design and implementation of Dynamo, a highly available key-value storage system that some of Amazon's core services use to provide an "always-on" experience. To achieve this level of availability, Dynamo sacrifices consistency under certain failure scenarios. It makes extensive use of object versioning and application-assisted conflict resolution in a manner that provides a novel interface for developers to use.
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Dynamo: amazon的高可用键值存储
亚马逊是世界上最大的电子商务运营商之一,大规模的可靠性是我们面临的最大挑战之一;即使是最轻微的中断也会造成严重的财务后果并影响客户信任。Amazon.com平台为全球许多网站提供服务,它是在位于世界各地许多数据中心的数以万计的服务器和网络组件的基础设施上实现的。在这种规模下,大大小小的组件都会不断地发生故障,而面对这些故障时管理持久状态的方式会驱动软件系统的可靠性和可伸缩性。本文介绍了Dynamo的设计和实现,Dynamo是一个高可用的键值存储系统,Amazon的一些核心服务使用它来提供“永远在线”的体验。为了达到这种级别的可用性,Dynamo在某些故障场景下牺牲了一致性。它以一种为开发人员提供新颖接口的方式,广泛地使用了对象版本控制和应用程序辅助的冲突解决。
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ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, Virtual Event / Koblenz, Germany, 25 October 2021 SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, Virtual Event / Koblenz, Germany, October 26-29, 2021 Application Performance Monitoring: Trade-Off between Overhead Reduction and Maintainability Efficient deterministic multithreading through schedule relaxation SILT: a memory-efficient, high-performance key-value store
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